However, urgency alone doesn’t advance clinical development. In major markets like the U.S. and Europe, even a brilliant scientific discovery can spend years trapped in the bureaucratic pipeline between university laboratories and hospital trials, only to be delayed further by regulatory and payer hurdles.

Whenever we host global healthcare leaders in Israel, the first thing they notice isn’t just the entrepreneurial energy. It’s the intentional healthcare ecosystem. Supported by universal, HMO-based coverage, the country functions less like a fragmented market and more like a high-density national testbed for innovative output. It is a deliberate design that offers valuable lessons to the broader global market.

The Power of Proximity and Data

In Israel, the core assets are talent, geographical proximity, and integrated infrastructure. Because of the country’s tight geography, world-class research universities, major tertiary medical centers, and dozens of health-tech startups are often just a short drive or train ride away. World-renowned centers such as the Weizmann Institute of Science, Tel Aviv Medical Center and Technion – Israel Institute of Technology even share their campuses with accelerators, incubators, start-ups and VCs.

However, physical proximity is not enough without data, and lots of it. Israel backs this need with nearly 100% digitized, longitudinal electronic health records (EHR) spanning almost three decades. This data is consolidated across four major health plans and represents a diverse population from around the globe.

What does this translate to in practice? Speed and validation. A neuroscientist can walk across the street to validate a concept with a clinician over coffee, secure risk-mitigating early funding from the Israel Innovation Authority and test the concept against real-world health data, all while larger enterprises are still scheduling preliminary committee meetings that can take weeks or months to finalize.

With a population of just under 10 million, Israel isn’t meant to be the end market for breakthrough medical innovation. Instead, it serves as an agile proving ground, the ultimate real-world pressure test for clinically viable solutions before they scale globally.

Bridging the “Valley of Death” in Science

At FINN Partners, we work directly alongside these innovators as their ideas journey from lab to market, counseling global leaders seeking to tap into this supply chain of innovation.

One of the most important lessons we see? Science without an execution pathway wanders. However, purpose-built ecosystems create a fast track from idea to reality.

Look at Corundum Neuroscience, a venture builder created to translate early-stage neuroscience into market-ready digital therapeutics and medical devices. Driven by the reality that lab research is worthless if it never reaches a patient, Corundum acts as an engine turning raw science into scalable products.

Turning Local Need into Global “Traumatech”

The Israeli mindset is built on adapting under pressure, taking an immediate, acute problem and solving it smartly and fast.

We see this clearly in the rapid rise of “Traumatech” and neurotechnology. Driven by an acute localized need to treat trauma and PTSD, Israeli innovators have developed technologies with profound global applications.

We see this in practice with pioneering platforms like GrayMatters Health, which has developed an FDA-cleared digital therapeutic using advanced EEG-neurofeedback to help patients self-regulate the brain activity tied to trauma. Similarly, BrainsWay pioneered Deep Transcranial Magnetic Stimulation (Deep TMS) to non-invasively treat severe depression and OCD.

These technologies are already in the field. They are clinically validated, regulatory-reviewed, and scalable tools built under time pressure to treat pressing human suffering not in the distant future, but now.

This drive to take local breakthroughs and scale them globally is taking hold across brain health. Major gatherings like the Alzheimer’s Association International Conference (AAIC) and the AD/PD™ Conference highlight the vital work being done in Alzheimer’s, Parkinson’s, and related neurodegenerative conditions, elevating these solutions on the world stage.

The Bottom Line: Innovation Demands an Ecosystem

Tackling the global brain health crisis takes more than capital or exceptional science in isolation.

Success requires a working environment that dismantles silos among academia, clinical practice, government, and private capital. Israel didn’t build this incubator as an academic exercise. It built it through collaboration because it was essential to meet people’s health urgencies. The need was evident, the solution essential, and so the nation stripped away friction points that create unnecessary obstacles to validation and access.

For global pharma leaders, health systems, and investors, early partnership with a high-density innovation culture like Israel provides a high-speed engine for validating and de-risking brain health innovations.

Brain health cannot remain an isolated research priority or an afterthought within the broader health agenda. It demands a connected, cross-sector mission uniting science, technology, investment, policy and patient care. Israel has built an innovation infrastructure that offers a powerful model for global health.

Our goal now must be to build the communications bridges that connect these innovators and innovation hubs to global markets, ensuring brain health breakthroughs move smoothly through complex health systems into the hands of the patients whose lives they can change.

Ellie Hanson is a Senior Partner and Co-Lead of FINN Partners Israel. She specializes in cross-border communications, helping Israeli innovators scale effectively into global markets.

The post Israel: A Global Incubator for Brain Health Innovation appeared first on Medika Life.

Amid thousands of pilots, predictions and promises about AI, three health leaders brought something valuable to the conversation: ethics and experience. Hal Wolf, FHIMSS, Isaac Kohane, MD, PhD, and Ran Balicer, MD, MPH, PhD, have spent decades thinking about how information, technology and balanced human judgment can improve people’s health. Each approach challenges from a unique vantage point.

I had the privilege of moderating their HIMSS “Views from the Top” conversation about recognizing value when selecting AI applications. The subject may sound technical. The conversation was warm, personal and reflective. At its heart was a very human question: How do we make certain these extraordinary new capabilities actually improve people’s health?

Three Must-Hear Voices

The people leading this conversation matter. AI in health does not need more prediction for prediction’s sake. It needs experienced leaders who understand how innovation moves from possibility to policy, from data to decisions, and from scientific discovery to patients’ lives and into health professionals’ decision-making.

Hal Wolf, FHIMSS, sees health from a global systems perspective. As President and CEO of HIMSS, the world’s largest professional society for health informatics, he works with health systems, technology leaders, governments and policymakers around the world. Under his leadership, HIMSS has forged agreements with governments and public institutions to strengthen digital use and the infrastructure needed to make health information accessible and actionable.

Those relationships give Wolf a view few people have. He sees innovation across institutions, borders and policy environments. He also understands that technology does not transform health simply because it exists. Progress depends on whether policy, infrastructure, information and people can align to put innovation to work.

Isaac Kohane, MD, PhD, has spent his career asking difficult questions at the intersection of medicine, science, computation, ethics and patient care. As Chair of Biomedical Informatics at Harvard Medical School, the physician-scientist has helped shape the field that many health leaders are now trying to understand at extraordinary speed. At the foundation of his medical training and perspectives is his training in pediatric endocrinology.

His questions matter as much as the answers. What assumptions are hidden inside these systems? What happens when we use powerful technology to automate practices that were flawed to begin with? How do we distinguish an impressive computational result from something that creates genuine clinical value? Dr. Kohane keeps the focus on consequences: What happens when technological capability outpaces human understanding?

Ran Balicer, MD, MPD, PhD, sees patterns and possibilities in health information and understands how to put them to work. At Clalit Health Services, he works within one of the world’s largest integrated health organizations, where longitudinal information across millions of people can reveal connections that might never be apparent during an individual clinical encounter.

For Dr. Balicer, accumulating data is not just about knowing more. It is recognizing risk sooner and turning information into insight that leads to informed action. That can mean preventing a hospitalization, identifying someone who needs attention or giving a health professional information that could improve or save a life.

That is what made their HIMSS conversation so valuable. Rather than predicting an AI-defined future, they explored what experience is already teaching us: How to evaluate innovation thoughtfully, translate information into action and ensure that greater technological capability advances the health of the people and communities we serve. Here are 10 takeaway lessons from their conversation to carry forward and apply in planning.

HIMSS 2026 “Views From the Top” conversation with Hal Wolf, FHIMSS, Isaac Kohane, MD, PhD, and Ran Balicer, MD, PhD, moderated by Gil Bashe.

1. AI Is Already Here

Health organizations may still be debating their formal AI strategies while clinicians, employees and patients are already “vigilantes” using the technology. Dr. Kohane captured the tension well: Health systems can move too slowly and too quickly at the same time. Formal governance may proceed cautiously while people inside those same systems reach for readily available AI tools to solve problems in real time.

That changes the leadership question. It is no longer a question of whether AI will enter health.  That ship sailed long ago. The task is to understand how it is being used, where it adds value, where it creates risk and how leaders can guide its adoption responsibly.

2. Speed Still Needs Structure

Wolf has seen health technology move through transformational cycles before. When internet connectivity entered hospitals, clinicians wanted access before many institutions had built the infrastructure and security systems to support use at scale. People found workarounds because the need was pressing and governance had to catch up.

AI is moving much faster. The answer is not to freeze innovation until every question has been resolved. Health organizations need structures that allow people to move with greater confidence. Responsible governance should enable progress, not become another source of friction.

3. AI Requires Human Values

Dr. Balicer raised an idea that belongs in every room where an AI decision is being made: Algorithms contain opinions embedded in code. Every model reflects choices about what information matters, which outcomes are prioritized, what trade-offs are acceptable and how clinical success is defined.

We should worry about bias in data. We also need to look at the assumptions built into the technology itself. Selecting an AI system, therefore, requires more than asking whether it is accurate. Leaders need to understand whose priorities it reflects and whether those priorities align with the needs of health professionals, patients and public health systems.

4. Begin With the Problem

Anyone who walked the expansive HIMSS exhibit floor saw the investment companies are pouring into AI-supported technologies. The temptation is to begin with capability: Look what this can do. Wolf’s perspective points toward a better starting place: What health-system and patient-care problem are we trying to solve?

Health has accumulated decades of technology intended to create efficiency, sometimes producing another screen, another workflow, or another demand on a health professional’s time. AI cannot become the newest layer of complexity. Begin with the health problem, understand the outcome that matters and determine how success will be measured. Then decide whether AI can help.

5. Do Not Automate What Is Already Broken

Dr. Kohane offered one of the most memorable cautions of the conversation: AI could effectively pour concrete over some of the worst practices in medicine. That image stays with you because it captures the danger of assuming automation equals improvement.

A poorly designed workflow does not necessarily become better because it becomes faster. Misaligned incentives do not improve because intelligence is layered onto them. Fragmentation does not disappear because information moves more quickly. AI allows health to reconsider old processes rather than simply automate them.

6. Leaders Need to Get Their Hands Dirty

Dr. Kohane provided wonderfully practical counsel to executives: Use several AI models yourself. Ask them questions. Compare their responses. See where they agree and where they wander. Experience how remarkably confident an incorrect answer can sound.

Health leaders do not need to become computer scientists. They do need curiosity and enough direct experience to ask better questions. Leadership becomes difficult when our understanding of a transformative technology comes entirely through presentations, dashboards and other people’s interpretations.

7. Prediction Creates Responsibility

Dr. Balicer brought the conversation squarely into population health. AI increasingly allows health systems to identify people at risk before they arrive at a physician’s office. Imagine recognizing months earlier that someone may be headed toward hospitalization or a preventable complication. That is the promise health has discussed for decades: moving from reaction toward prevention.

The challenge arrives with the insight. What happens when a system identifies more people who could benefit from intervention than it has resources to help? Better prediction does not eliminate the challenges of access to care. It makes choices more visible. Knowing earlier also creates a responsibility to decide what we will do with that knowledge.

8. Give Time Back to Healers

Administrative AI matters. Reducing documentation burden, improving scheduling and making information easier to retrieve can return precious time to health professionals. The more important question is, how is that added time going to be used?  This is a critical decision that leaders and health professionals need to resolve.

If AI gives a physician another 30 minutes, does it create an opportunity to listen more closely to a patient, explain something more clearly or go home a little earlier after a difficult day?  Will institutions see this as an opportunity to schedule another two patient appointments? Does it reduce cognitive burden, or does the schedule simply absorb another appointment? The value of efficiency should ultimately be measured by what it gives back to people.

9. Move Beyond Pilots

The health system loves pilots. They let organizations explore, generate enthusiasm and manage risk. They can also become comfortable places to remain when the harder decision is determining what deserves to scale.

AI maturity requires choices. Which applications improve outcomes? Which reduce friction? What enables health professionals to make better decisions? Which secures wider trust? Which should be stopped? Pilots offer baseline experiential information. Progress comes when leaders are willing to act on what they learn and scale.

10. Technology Amplifies Our Choices

AI can find patterns that people might take months or years to see, summarize volumes of information that few clinicians have time to read and identify risk earlier than traditional systems allow. Those capabilities are extraordinary. They still cannot decide what kind of health system we want to create or when a diagnosis may overwhelm a patient who needs added time with a health professional.

That responsibility remains ours. Wolf’s experience reminds us that progress requires systems and policies capable of supporting innovation and the people within that institution. Dr. Kohane reminds us to question assumptions and subject technological capability to scientific and ethical scrutiny. Dr. Balicer shows what becomes possible when information is connected across populations and transformed into insight, enabling people to act sooner.

Their experience and perspectives do not provide every answer. They do something equally valuable by sharpening the questions health leaders must be asking. What problem are we solving? What evidence demonstrates value? What assumptions are embedded in the technology? Who benefits? Who might be overlooked? What will we do with the time, information and predictive capability AI returns to us?

These are leadership and governance questions more than technology questions. The conversation about AI in health is moving beyond whether machines can perform well at their tasks. We know they can (even with their false flags). Our opportunity is to connect that capability with human judgment and care, operational realities, and an understanding of the people we serve, whose lives depend on ethical and clinical decision-making.

Will AI Replace the Doctor?

That question is getting louder. Christina Farr recently brought Ezekiel (Zeke) Emanuel, MD, PhD, and John Whyte, MD, MPH, together on her podcast series, Lifers, to debate whether AI could replace physicians in significant areas of medicine by 2030.

Perhaps the more important question is not whether AI will replace health professionals. Wolfe and Drs. Kohane and Balicer offered a roadmap to explore that question: “It is what we should allow AI to replace, what we should insist it improve and what must remain fundamentally human.”

AI may eventually outperform people at an expanding number of clinical tasks. The measure of progress should be whether those capabilities improve health while giving health professionals greater capacity to do what people still need from people.

Technology will continue to become more informed. Our responsibility is to become wiser about how we use it, remembering that every data point ultimately represents a person counting on us to make the right choice.

The post 10 Things Health Leaders Need to Consider About AI Now appeared first on Medika Life.

Instead, she told people she still had “so many things” she wanted to achieve. Four days later, she was dead.

I know this differently than most people do, because I am a radiation oncologist. For 36 years, I have sat across from people with cancer while they talked about what came next. Sometimes that meant radiation or chemotherapy. Just as often, it meant a daughter’s wedding, a trip already booked, a grandchild arriving in December or whether they would be strong enough to get back into the garden in spring. I have heard each of these in the last month.

When I was younger, I assumed serious illness would change the way people thought about time. I imagined that once the stakes became high enough, the future would begin to recede and the present would take over. That isn’t what I have seen. People can understand that they are seriously ill and still make plans. They can discuss a frightening scan and then ask whether treatment will interfere with a vacation. They can know that a cancer is incurable and still wonder what they should buy their spouse for Christmas.

This isn’t necessarily denial. It is what happens when illness enters a life that is already in progress. The dog still needs walking. Someone needs groceries. The mortgage is due. There is a birthday next month and a friend coming for dinner on Saturday. Even when the medical facts have changed dramatically, much of Tuesday can still look like Tuesday.

On August 21, Parton spoke publicly about going through a difficult period with her health. That same day, she was admitted to Vanderbilt-Ingram Cancer Center in Nashville. She died there four days later. Her representatives said that she had been diagnosed with cancer and described her illness as a brief battle. They have not disclosed what type of cancer she had.

Now that we know the ending, everything before it looks different.

The canceled performance becomes a warning. The missed appearance becomes evidence. A doctor’s instruction not to travel takes on a significance it may not have carried when it was given. Separate events become a sequence, and the sequence begins to look as though it had been pointing toward the same destination all along.

I have watched families do this for years. They ask when things really changed. Was it when she stopped eating as much? Was it the weekend when he didn’t want to leave the house? Should we have understood what the fatigue meant? Was there a moment when everyone should have known?

Sometimes there is an answer. Often there isn’t, because illness is much easier to understand backward than forward. What Parton said four days before her death gives us a glimpse of where her attention still was. She was thinking about what came next.

The medical record looks orderly. Life isn’t.

When I began practicing oncology, I thought of serious illness as a series of recognizable thresholds. Diagnosis. Treatment. Response. Progression. Eventually, for some patients, the point when treatment could no longer do enough.

The medical record encourages that way of thinking. It puts dates beside events and turns a complicated human experience into a chronology that can fit on a screen. Living through illness is different. A scan can worsen while someone continues going to work. A person can receive radiation in the morning and pick up a grandchild from school that afternoon. Someone can understand perfectly well that a cancer is incurable and still make a restaurant reservation six months away. There is rarely a bell that rings when ordinary life becomes something else.

I had a patient once, a woman in her mid-sixties, who came to me complaining that she could no longer walk to the grocery store the way she used to. She had been going there three times a week — a routine that anchored her mornings. Now she was tired halfway there. She asked if radiation therapy would help her get back to it.

I told her the truth: probably not. She nodded, and we talked about treatment options. Six months later, during a follow-up visit, I asked how she was managing. “Oh, fine,” she said. “I order online now.” She had adjusted so completely that she’d already forgotten the walk was ever part of her life at all.

Over the years, I have become increasingly interested in this kind of adaptation. Someone starts taking the elevator instead of the stairs. The afternoon nap becomes necessary rather than optional. A person who always cooked begins ordering food. The weekend that once restored them no longer does. None of these changes feel important enough to mark on a calendar. We simply adjust around them.

What interests me is how long we can do this without realizing how much our world has changed. Life still works, so we assume our capacity hasn’t changed very much. Often it has. We have simply become good at spending less of it.

That observation extends far beyond cancer, which is why I built the Capacity Checkup — a tool that looks at sleep, mood, focus and body to help you see where your reserves may be thinning. Take the free 3-minute Capacity Checkup and see where it makes sense to pay attention first.

There was nothing left for Dolly Parton to prove

She had sold more than 100 million records. Her songs became part of American culture. Her Imagination Library, started in Tennessee, grew into an international program that has put hundreds of millions of books into children’s hands. During the pandemic, she donated $1 million to Vanderbilt University Medical Center to support research on the Moderna COVID-19 vaccine. What interests me is that apparently she wasn’t keeping score. She still had things she wanted to do.

After decades of treating older adults, I have become interested in people who keep something ahead of them — people who don’t think they’re finished. It doesn’t have to be important to anyone else. A trip works. So does a garden, learning a piece of music, seeing a grandchild graduate, finishing a book or getting strong enough to walk somewhere you haven’t been able to walk for a while. The project matters less than the fact that there is still a project. Perhaps that is why Parton’s comment from four days ago caught me more than the lists of awards and accomplishments. She wasn’t describing a completed life. She was describing the next part of it.

Maybe there is something good about leaving things unfinished. Death encourages the people who remain to turn a life into a finished story. I have watched people lose futures they desperately wanted, and there is nothing reassuring about that. But 36 years in oncology have made me see another side of it. Maybe feeling unfinished isn’t evidence that we failed to complete our lives. Maybe it is what being alive feels like.

As long as we are engaged with the world, there is another thing we want to see, make, repair, learn or give to someone else. We keep placing small bets on a future we cannot actually guarantee.

Most mornings, none of us thinks much about that. We make the reservation anyway. We buy the concert tickets. We plant something that won’t bloom for months. We tell someone we’ll see them at Christmas. We begin books we may take years to finish.

Dolly Parton had been doing some version of that for eight decades. She had gone from a one-room cabin in Tennessee to a career almost impossible to summarize. She had written thousands of songs, built companies, made an enormous amount of money and given a great deal of it away. Four days before she died, she was still talking about the things she hoped to accomplish.

After 36 years of watching people live alongside serious illness, I don’t hear that as a story about someone who failed to understand that time was running out. I hear something much more familiar. She still thought there would be a tomorrow. So do we. And most days, that is how we manage to live.

The post Four Days Before Dolly Parton Died, She Was Talking About the Future appeared first on Medika Life.

Then eggs were declared acceptable again. Butter quietly returned to many breakfast tables. Researchers questioned whether whole milk was really worse than skim milk. Even the evidence surrounding red meat proved to be less certain than many people had assumed.

No wonder people throw up their hands and ask, “How can the experts keep changing their minds?”

The answer is actually reassuring. Science is supposed to change.

Yesterday’s certainty

When I was growing up, breakfast meant bacon, eggs, buttered toast, and a glass of whole milk. Few people questioned whether those foods were healthy.

Beginning in the 1960s, however, nutrition advice shifted dramatically. Saturated fat became the villain. We were encouraged to choose skim milk instead of whole milk, margarine instead of butter, and carbohydrates instead of fats. Red meat became something to limit. Eggs were viewed with suspicion. Millions of us faithfully changed our eating habits because we believed the science was settled. But science is rarely settled.

Looking more closely at the evidence

Over the past decade, researchers have reexamined many of the studies that shaped dietary recommendations. Several respected investigators concluded that the evidence supporting three daily servings of low-fat dairy was much weaker than most people realized. Likewise, convincing evidence that whole milk increases the risk of heart disease compared with reduced-fat milk has been difficult to demonstrate.

Researchers also questioned the assumption that whole-fat dairy inevitably promotes obesity. Some studies found just the opposite: because full-fat dairy is more satisfying, people may actually consume fewer total calories during the day.

And eggs got a reprieve on life a few years ago.

Red meat has generated similar debate. Several comprehensive reviews concluded that the evidence linking moderate red meat consumption with heart disease, cancer, or early death was less convincing than previously believed. These conclusions generated enormous controversy — not because researchers recommended eating more meat, but because they emphasized how uncertain the evidence actually was.

That distinction matters.

Nutrition studies are notoriously difficult to perform. Most rely on observing what people choose to eat over many years rather than randomly assigning thousands of people to follow a single diet for decades. Such observational studies can identify associations but cannot prove cause and effect.

That is why nutrition recommendations often evolve as new evidence accumulates.

What we know with greater confidence

Although individual foods continue to be debated, the overall picture has become much clearer. The healthiest diets around the world have remarkably similar characteristics. They emphasize vegetables, fruits, legumes, nuts, whole grains, and healthy oils. They include adequate protein from meat, fish, or high-proteinvegetables.

They minimize highly processed foods loaded with refined starches, added sugars, and excess sodium, what we now lump together as ultraprocessed foods. They avoid excessive calories.

Whether someone includes modest amounts of dairy or red meat appears to be far less important than the overall quality of the diet.

In other words, arguing over whole milk versus skim milk while drinking sugar-sweetened beverages and eating highly processed snack foods misses the bigger picture.

The real dietary villain

Perhaps the greatest nutritional lesson of the past several decades is that our attention was often directed toward the wrong target. We became preoccupied with individual nutrients — fat, cholesterol, carbohydrates — while the food environment around us changed dramatically.

Today’s supermarkets are filled with ultra-processed foods specifically engineered to be inexpensive, convenient, and difficult to resist. These products often contain combinations of refined flour, sugars, unhealthy fats, salt, and additives that encourage overeating. And they are cheaper relative to whole foods on a calorie for calorie basis, making them the choice of those with limited funds.

Meanwhile, consumption of vegetables, fruits, beans, nuts, and other minimally processed foods remains lower than recommended for most Americans.

That imbalance likely contributes far more to obesity, diabetes, and cardiovascular disease than whether someone occasionally enjoys a steak or drinks whole milk.

Humility is part of good science

One lesson extends beyond nutrition. Medicine constantly evolves. Here is a good example.

For many years physicians believed stomach ulcers resulted primarily from stress and excess stomach acid. Then two Australian physicians demonstrated that most ulcers were actually caused by the bacterium Helicobacter pylori. Their discovery transformed treatment and eventually earned them the Nobel Prize.

Progress occurred not because science failed, but because science corrected itself. Nutrition science works the same way. As better studies become available, recommendations should change. That is a strength, not a weakness.

So, what should we eat?

Fortunately, the answer is much simpler than many headlines suggest. Eat mostly real food. Fill your plate with vegetables and fruit. Choose beans, whole grains, nuts, seeds, and healthy oils, and first cold pressed extra virgin olive oil. Include fin fish often. If you enjoy dairy, modest amounts are fine, especially live culture unsweetened Greek yogurt. Eggs are healthy and poultry is a good protein source. If you enjoy red meat, have it occasionally rather than making it the centerpiece of every meal. The Mediterranean diet is essentially these choices.

Limit processed meats. Most importantly, avoid making ultra-processed foods the foundation of your diet.

Michael Pollan in his book In Defense of Food, summarized this approach beautifully: “Eat food. Not too much. Mostly plants.” That advice has aged remarkably well.

Another way to look at it

Instead of looking at one diet or another, a Harvard study published in 2025 analyzed what people actually ate in data from 30 years of the Nurses’ Health Study and the Health Professionals Followup Study. They asked the question: what did the people who lived to age 70 and were healthy in body and mind eat? Less than ten per cent of the 105,015 participants were alive and met that criterion at age 70. Here is what they ate during midlife. It turns out that they were eating mostly real foods with an emphasis on fruit, whole grains, vegetables with special attention to green leafies, more unsaturated than saturated fats, beans, soy products, yogurt, low-fat dairy, and berries. They tended to avoid trans-fats, processed meats, high-sodium foods, and sugary drinks. Sound familiar?

The authors concluded,“Our findings suggest that dietary patterns rich in plant-based foods, with moderate inclusion of healthy animal-based foods, may enhance overall healthy aging, guiding future dietary guidelines.

The bottom line

Nutrition headlines will continue to change. Future studies will challenge old assumptions, and some recommendations will inevitably be revised. But the fundamentals have remained surprisingly consistent.

The healthiest diet is not built around eliminating one food or glorifying another. It is built around balance, moderation, and eating foods as close as possible to how nature produced them. To carry it a bit further, “Don’t eat anything your grandmother would not recognize.”

Healthy aging is not built on finding the perfect food. It is built on consistently choosing better foods, staying physically active, maintaining a healthy weight, and letting good habits — not dietary fads — shape your future. This is what will assure you of many healthy years, a longer healthspan, not just lifespan.

Perhaps the greatest lesson is not that everything we once believed was wrong. It is that science is always learning — and so should we.

The post Nutrition Advice Keeps Changing — And What Never Changes appeared first on Medika Life.

Loneliness, it turns out, isn’t just an emotion. It’s a biological signal, as powerful and urgent as hunger or thirst. When you’re lonely, your brain doesn’t just feel sad. It sounds an alarm. Your body responds. And if that alarm keeps ringing, day after day, real physical damage begins.

Your Brain Treats Loneliness Like Starvation

Here’s something researchers at MIT discovered when they had people sit alone in a room for ten hours: afterward, when those isolated individuals looked at pictures of people laughing and connecting, the same part of their brain lit up that activates in people who are starving and looking at food. That’s not a metaphor. The craving for company and the craving for food share the same neural real estate.

Kay Tye, a neuroscientist at the Salk Institute for Biological Studies in California, has spent years mapping what she calls “social homeostasis” in the brain. Homeostasis is the fancy word for the way your body stays balanced. Your temperature stays near 98.6 degrees. Your blood sugar stays in a range. Tye’s research suggests that your need for human connection operates in the same way. Your brain has a set point. Stray too far from it, and systems start firing to bring you back.

In 2025, a paper published in Biological Psychiatry by Tye and colleagues formally introduced “social homeostasis” as a new way to think about mental health. The authors argue that chronic loneliness or overcrowding can shift the brain’s set point, leading to the kind of nervous system imbalance seen in many psychiatric conditions.

Deep Inside the Brain, a Social Thermostat

Catherine Dulac, a neuroscientist at Harvard University, wanted to know exactly where in the brain this social regulation lives. She looked to the hypothalamus, the ancient region buried deep in our skulls that controls hunger, thirst, and sleep. It turned out to be the right place to look.

In 2025, her team published findings from experiments on mice that had been separated from their companions for 5 days. They found two distinct clusters of neurons in the hypothalamus. One cluster fired when the animals were alone. The other fired when they were reunited. More telling: the longer the animals had been isolated, the more intensely they sought contact once reunion was possible. Greater deprivation, greater need. Just like thirst.

When researchers artificially activated the “separation” neurons, the mice actively avoided whatever chamber triggered the signal. Being alone felt bad, in a physical, measurable way. When they activated the “reunion” neurons, which connect to the brain’s dopamine reward system, the mice sought out that feeling. Connection felt good. Not just emotionally. Chemically.

These deep brain structures look nearly identical in mice and humans. We share this wiring because it’s ancient. The need to belong is not a modern luxury. It’s a survival code, written into the oldest parts of who we are.

Touch Matters More Than You Think

In Dulac’s experiments, vision didn’t count for much. Neither did sound or smell. Mice separated by a screen that still let them hear and smell each other reacted as if they were fully alone. The only sense that truly registered “I’m not alone” was touch. The physical presence of another body against their own.

Ishmail Abdus-Saboor, a neurobiologist at Columbia University, studies the specific nerve pathways dedicated to social touch in human skin. Our bodies actually have neurons in hairy skin that respond specifically to slow, gentle stroking, the kind a friend or family member might offer. These aren’t generic touch receptors. They’re wired for connection. A hug or a hand on the shoulder isn’t just a nice gesture. It’s information your nervous system uses to update its social score.

This is why phone calls help but don’t completely fill the gap. Why video chats feel better than nothing, but still leave something missing. Your brain needs data that only physical proximity can provide.

When Loneliness Goes Untreated, Your Body Pays

Social disconnection isn’t just hard on the heart emotionally. It’s hard on the actual heart. Research published in Cureus in 2025 reviewed data spanning decades and found that loneliness nearly doubles the risk of stroke and recurrent coronary artery disease, driven largely by increased inflammatory responses in the body.

The American Heart Association has stated that social isolation and loneliness raise the risk of heart attack, stroke, or death from either condition by about 30 percent. And a 2025 narrative review published in the journal Stress mapped the full internal chain of events: loneliness activates the body’s stress response system, raises cortisol levels, increases inflammatory proteins in the blood, changes how the amygdala reacts to social threat, and contributes to cardiometabolic risk markers.

Research published in Frontiers in Human Neuroscience in 2026 linked chronic loneliness to reduced gray matter in brain regions involved in memory and emotional regulation, including the hippocampus. It also found that loneliness is a significant risk factor for accelerated cognitive decline and dementia.

Put simply: isolation doesn’t just make us miserable. It changes our brain structure, disrupts our hormones, inflames our blood vessels, and shortens our lives.

What This Means for How We Live

Knowing that connection is a biological need rather than a preference changes the conversation. You’re not weak if you feel lonely. You’re not clingy if you crave company. You’re responding to an ancient alarm system that has kept our species alive for hundreds of thousands of years.

The research also offers a practical insight. Because touch plays such a central role, the quality of our physical presence with others matters enormously. Abdus-Saboor says he’s intentional about physical contact with his family every single day. Not grand gestures. Just a hug before the kids leave for school. A hand on a shoulder. A back rub. These aren’t small things. They’re medicine.

Tye adds another useful idea: building a variety of social settings into your life. Spending time alone, in small groups, and occasionally in larger groups can help your social thermostat stay flexible and resilient. The goal isn’t constant togetherness. It’s a healthy range.

It’s also worth noting that the damage from loneliness isn’t inevitable. Research on loneliness as a health issue consistently points to the same takeaway: these effects are modifiable. Community programs, social prescribing in healthcare, nature-based group activities, and intentional outreach to isolated neighbors all show measurable results.

The Bottom Line

If you feel lonely, don’t brush it off as a mood that’ll pass. Your brain is signaling something real. Your body is already responding. The good news is that connection, real physical presence with people who matter to you, works as powerfully in the other direction. It turns the alarm off. It restores the balance. It’s not a luxury. It’s what your biology has been asking for all along.

Science is saying what our hearts have always known: we need each other. Now we know exactly why.

The post Loneliness Is Not Just a Feeling. It’s a Biological Emergency appeared first on Medika Life.

However, there is a question we rarely ask when introducing a new technology, administrative requirement or checkpoint process into health: “Did we actually eliminate work, or did we simply kick the can down the road and move it to someone else?”

Too often, what looks like efficiency on one side of the health ecosystem table is experienced as friction on the other. The insurer automates a process while a physician practice hires someone to navigate it. The hospital creates another digital portal, while the patient becomes responsible for connecting information that the health system has failed to connect with another. New technology promises to give clinicians time back, only to add another inbox, alert, or screen demanding attention.

In Healing the Sick Care System: Why People Matter, I describe fragmentation as one of the forces that separates people from the care they need and health professionals from the people they are trying to help. Friction is what that fragmentation feels like in our day-to-day life. It is the extra call, the repeated form, the missing information, the wasted hour and the handoff nobody owns. Worse, it is the yelling and arguing between the patient’s physician and the payer’s prior authorization approval team.

There is a cost to all of this. Call it the friction tax.

The Work Did Not Disappear

Prior authorization offers one of the clearest examples. It is intended to control unnecessary spending and encourage appropriate use of diagnostics and treatments. Those are legitimate, responsible goals. The problem amplifies when the administrative mechanism created to save money begins consuming enormous resources elsewhere.

The American Medical Association reported in 2026 that physicians and their staff spend an average of 13 hours each week completing prior authorization requirements. Physicians average about 40 authorization requests each week and 40 percent report having staff who work exclusively on prior authorization.

That work is not free. Its cost simply moved.

An insurer’s utilization decision results in forms, electronic submissions, phone calls, appeals, and follow-up work within a physician practice. Even when the authorization is eventually approved, someone has paid the friction tax. The patient may pay another portion through delayed treatment or by exhausting the effort required to fight for something a clinician has already determined to be necessary. In rare but tragic cases, the friction does not merely delay care. It helps determine whether care arrives in time.

We celebrate efficiency where it was created, without always counting the burden it created elsewhere.

When Waiting Becomes a Bill

Consider something far more ordinary: waiting for the doctor.

Physicians run late. Medicine is unpredictable and sometimes the person in the examination room needs more time than anyone anticipated. That is not friction. The friction is knowing the doctor is running 30, 60 or 90 minutes behind and failing to tell the next patient.

The technology needed to send a text saying, “Dr. Smith is running about 45 minutes late. Please adjust your arrival time,” is hardly futuristic. Airlines alert us when our flights are delayed. Restaurant buzzers tell us when a table is ready. A delivery app can show us a sandwich moving across town. Even items ordered from other countries have shopper apps to keep us posted on their global journeys.

Yet people still leave work, arrange childcare, drive to a physician’s office and sit for an hour because nobody communicated information the practice already knew. This is where a simple principle becomes very practical: communication is care. A timely message respects someone’s time, reduces anxiety and helps strengthen ties before the health encounter even begins.

People’s time has economic value. A national study published in The American Journal of Managed Care found that an ambulatory medical visit lasted an average of 121 minutes, including 37 minutes of travel and 84 minutes at the clinic. Researchers estimated the opportunity cost at $43 per visit in 2010, totaling approximately $52 billion annually across the United States. For every dollar spent reimbursing a physician visit, patients absorbed another 15 cents in the value of their time.

Those figures are more than a decade old; however, the principle is not. Every unnecessary 30 or 60 minutes has value, particularly for the hourly worker losing wages, the parent paying for childcare, the caregiver juggling another person’s needs or anyone forced to surrender a piece of the workday because a practice did not communicate.

According to the American Family Physician, 10 million patients visited a primary care physician this week. Multiply that experience across millions of appointments and waiting stops being a minor annoyance. It becomes an enormous invisible expense.

People Eventually Route Around Friction

There is another consequence to inconvenience that cannot be measured only in dollars. People change their behavior using their buying power.

Urgent care centers and retail clinics offer something traditional medicine too often lacks: walk-in availability, extended hours and shorter waits. Research examining retail clinic use has repeatedly identified convenience as an important reason patients choose these settings.

That matters because people eventually route around friction.

The growth of convenient care cannot be attributed to waiting rooms alone. Primary care shortages, appointment availability, location, cost and changing consumer expectations all played roles. Yet convenience became a competitive advantage because traditional primary care frequently asked patients to organize their lives around the system rather than designing the system around people’s lives.

The loss can be subtle. A walk-in clinic can treat a sore throat or an infection just as efficiently. What it cannot always replace is the long-standing relationship with a primary care professional who has known the patient over the years, notices changes, encourages prevention, and connects today’s complaint to yesterday’s history.

The convenient alternative solved a friction problem. It did not necessarily replace everything that was lost.

Health Professionals Pay Attention

The friction tax also falls heavily on health professionals.

A time-and-motion study published in Annals of Internal Medicine found that for every hour physicians spent in direct clinical face time with patients, they spent nearly two additional hours on electronic health records and desk work during the workday. Physicians also reported another one to two hours of personal time each night devoted largely to EHR tasks.

Some of that work is essential. Documentation protects patients. Medication reconciliation matters. Reviewing laboratory results matters. Safety checks matter.  The goal should never be completely frictionless medicine because some friction protects people from harm.

The problem is friction without corresponding value: entering information that already exists, moving data between systems that cannot communicate, clicking through low-value alerts or requiring highly trained clinicians to perform tasks that do not require their expertise.  How many times have you entered a doctor’s office and been greeted with a clipboard with papers on your medical history?

Every unnecessary minute has an opportunity cost. It is time unavailable for examining someone, explaining a diagnosis, listening to a family or simply looking another human being in the eye. When process begins consuming the relationship, efficiency has defeated its own purpose.

Families Have Become the Integration Layer

Another group quietly absorbs enormous friction: family and friend caregivers.

When organizations cannot coordinate, close connections often coordinate for them. They maintain medication lists, arrange appointments, call insurers, locate specialists, monitor portals, manage bills, and relay information from one clinician to another.

AARP estimated in 2026 that 59 million family caregivers provided 49.5 billion hours of unpaid care annually, work valued at approximately $1.01 trillion.

Not all of that time represents administrative friction. Much of caregiving is essential, personal and deeply human. Yet some portion exists because families have become the connective tissue between organizations and professionals that do not consistently connect.

We have created millions of unpaid care coordinators and rarely count their time as part of the cost of care.

Start Asking Who Pays

None of this is an argument against technology, utilization management or administrative oversight. Innovation can remove enormous amounts of friction. The challenge is determining whether it actually did.

Before introducing a new process or technology, health system innovators should ask: “How many steps does this remove? How many does it add? Whose time does it save? Whose time does it consume? What new work does it create? What happens to the person who lacks the time, digital skills, financial resources or family support to navigate it?”

Eventually, those questions should become measurable. They mean even push the fragmented health ecosystem to share and prioritize a common metric: patient and health professional experience.

Imagine evaluating innovation not only by clinical benefit and financial return but also by a friction score that measures time, clicks, handoffs, repeated information requests, administrative hours, delays, and work transferred to patients and caregivers.

A sick care system is not healed simply by adding more technology. It becomes healthier when innovation reconnects people, information and care rather than placing another obstacle between them.

The next great advance in health may not come solely from adding something new. It may come from finally recognizing the cost of everything we have already added. When a system saves itself time by consuming someone else’s, it has not eliminated cost. It has simply sent the bill to someone who cannot invoice it back.

The post The Hidden “Friction Tax” appeared first on Medika Life.

My artistic wife recently painted a working farm near our vacation home on Maryland’s Eastern Shore. It is a peaceful scene — fields stretching toward a red barn, a white silo, an outbuilding, and a line of mature trees beneath a broad summer sky; a sky hinting of coming rain.

On a later occasion she painted exactly the same view from exactly the same location. Everything had changed. Not the trees, the barn, the silo, but the view.

The first painting shows crisp detail. The barn stands proudly against the horizon. The trees are rich green. The sky is dramatic but clear, blue at the horizon. It is a landscape that invites you to breathe deeply.

The second painting tells another story. The barn is still there. So is the silo. But both appear as ghosts behind a gray veil. The distant trees fade into haze. The sky has totally lost its brilliance.

The difference was not artistic interpretation. It was heavy smoke, Code Red for air quality.

These two paintings of exactly the same place reveal two different worlds.

Sometimes a painting says more than a scientific report.

Hundreds of miles away, Canadian forests were burning. Winds carried microscopic particles across much of eastern North America until even familiar landmarks disappeared into the haze. Public health officials advised many people — especially older adults, children, and those with heart or lung disease — to stay indoors or wear high-quality masks outside.

Think about that for a moment.

Not because of a local factory. Not because of a nearby fire. But because forests were burning hundreds of miles away. For a few days, simply breathing became something to think about.

Those two paintings remind us how fragile our environment really is.

We usually think of clean air as something permanent. It is not. It is one of life’s greatest gifts precisely because it is easy to overlook until it disappears.

The gift of trees

The same is true of trees. Most of us appreciate trees because they are beautiful. They soften our neighborhoods, frame country roads, and transform ordinary landscapes into places we remember. Yet trees perform remarkable work that we rarely notice.

They absorb carbon dioxide while releasing the oxygen we depend upon. Their shade can lower surrounding temperatures by many degrees during the heat of summer. Their roots stabilize soil, reducing erosion and slowing stormwater runoff. They provide habitat for birds and countless other forms of life.

Perhaps less well known, trees also help clean the air. Their leaves capture fine airborne particles, including smoke and dust, removing some of the pollution we would otherwise breathe. One tree cannot clear an entire city, but millions of trees together become a vast natural filtration system working every hour of every day.

We often look for complex technological solutions to environmental challenges. Sometimes the simplest answers have been growing quietly around us all along.

Plant more trees. Protect mature forests. Preserve green spaces before they disappear.

These actions will not prevent every wildfire, eliminate every heat wave, or solve climate change by themselves. But they make our communities healthier, cooler, cleaner, and more resilient.

Comparing the two paintings tells that story without a single graph or scientific paper. One invites you to admire a beautiful countryside. The other asks why you can barely see it.

Art tells the story

Art has a remarkable ability to reveal what statistics sometimes cannot. It reminds us that environmental change is not an abstract concept discussed in conferences or scientific journals. It is something we can see, breathe, and experience in our own neighborhoods.

Looking at these paintings, I hope that they will simply represent an unusual week in history rather than a preview of our future.

The farm has not changed. Neither has the barn. Nor the trees.

What changed was the air quality between them and us.

And perhaps that is the clearest reminder of all that protecting our environment ultimately means protecting ourselves.

The post The Same Farm. Two Days. Two Different Worlds appeared first on Medika Life.

Billions of your cells will die today. You will probably notice none of them. That may be one of the more remarkable facts about being alive.

Cell death sounds catastrophic because we tend to encounter the word in catastrophic settings. A heart attack kills heart muscle. A stroke kills neurons. Cancer treatment kills tumor cells. But most cell death is nothing like this. It is planned, orderly, and so routine that your tissues depend on it.

Cells age. They become damaged. They finish the jobs they were built to do. Then many activate a carefully controlled program called apoptosis and dismantle themselves. The remarkable part is what happens next. Your body does not simply leave the remains where they fall. It eats them.

Death Without an Alarm

For much of my career in oncology, I have thought about cell death as an objective. Radiation damages cancer cells precisely because we want those cells to stop surviving and reproducing. But killing a cell is only part of the biological story. Someone has to deal with what remains.

This is harder than it sounds. A dying cell contains proteins, DNA, enzymes, membranes, and other material that should not simply spill into the surrounding tissue. If enough intracellular debris escapes uncontrolled, the immune system can interpret the scene as damage and respond with inflammation.

Apoptosis solves part of that problem by allowing a cell to die relatively neatly. The cell shrinks, reorganizes its contents, and packages material rather than simply bursting apart. Then another system takes over. Its name is efferocytosis, from a Latin root meaning to carry to the grave. It is the process by which macrophages and other cells recognize, engulf, and dispose of dying cells. Researchers increasingly view it not merely as garbage collection but as an active part of resolving inflammation and maintaining tissue homeostasis.

The distinction matters. Your immune system does not merely need to know when to attack. It also needs to know when to stop.

The Dead Cell Sends a Message

A cell preparing to disappear does something surprisingly social. It communicates. Dying cells can release molecular signals that attract scavenging cells toward them. Once a macrophage arrives, changes on the dying cell’s surface help identify it as something that should be removed rather than attacked.

One of the best-known changes involves phosphatidylserine, a lipid normally kept largely on the inner side of the cell membrane. During apoptosis, it becomes exposed on the outer surface. In biological terms, it functions something like a flag: I am finished. Remove me.

A macrophage recognizes these signals, surrounds the dying cell, and swallows it. But this is where the story becomes much more interesting than waste disposal. The act of consuming a dying cell can change the macrophage itself. Its metabolism and signaling shift. Rather than simply eliminating debris, the macrophage can move toward programs associated with resolving inflammation and repairing tissue. Recent work continues to reveal how deeply this cleanup process is intertwined with macrophage metabolism.

The janitor does not merely clean the room. Cleaning changes the janitor.

What Happens When Cleanup Slows

This system is extraordinarily efficient, which is why most of us have never heard of it. We tend to notice biological systems only when they fail.

When apoptotic cells are not removed promptly, their orderly death can become less orderly. Membranes eventually lose integrity. Material that had been contained can escape. Signals that should have ended quietly can become inflammatory. That possibility has made efferocytosis increasingly interesting to researchers studying chronic inflammatory disease.

A 2025 review focused specifically on aging described evidence that the machinery of efferocytosis changes as phagocytic cells age and that impaired clearance interacts with several hallmarks of aging, including mitochondrial dysfunction, cellular senescence, altered communication between cells, and chronic inflammation. That does not mean defective efferocytosis is the cause of aging. Biology almost never gives us explanations that convenient. It means something subtler: one reason inflammation may become harder to resolve with age could involve not only how vigorously the immune system responds to damage, but how efficiently it cleans up afterward.

And that changes the question. Instead of asking only why inflammation starts, researchers can also ask why it sometimes fails to end.

Scientists Are Finding the Cleanup System Everywhere

Over the past year, that question has produced some striking results. In 2025, researchers studying newborn and adult hearts found that macrophages in newborn tissue were particularly equipped for efferocytosis after injury. Engulfing dying cells altered macrophage metabolism in ways that helped promote tissue regeneration. Adult tissues did not reproduce the same response as effectively.

Other researchers have found connections in very different tissues. A 2025 Nature study showed that limited death of pancreatic beta cells could remodel macrophages in the pancreatic islets through efferocytosis. In osteoarthritis models, investigators reported that high glucose could impair macrophage efferocytosis through a specific molecular mechanism and worsen disease progression. In 2026, researchers reported that macrophage efferocytosis can promote inflammation resolution and accelerate wound healing. Another study found that efferocytosis enhanced macrophage functions involved in blood-vessel formation during bone-marrow regeneration.

But perhaps the most striking recent finding came in 2026. Researchers found that restoring the ability of tissue-resident macrophages to clear senescent neutrophils improved multiple signs of aging in mice, including frailty, muscle loss, cognitive decline, cardiac dysfunction, and systemic inflammation. The mechanism involved blocking a specific inflammatory signaling pathway in aging macrophages. The researchers also found evidence of related changes in aged human tissues, although whether the same intervention could restore clearance in people remains unknown. Still, the finding raises a provocative possibility: at least some of the decline in this hidden cleanup system may be reversible rather than inevitable.

Different organs. Different diseases. Different experimental systems. The recurring idea is that disposing of a dead cell is not necessarily the end of a biological event. Sometimes it helps determine what happens next.

The Part of Healing We Rarely Think About

Medicine naturally focuses on threats. Kill the bacterium. Remove the tumor. Suppress the inflammation. Repair the injury. Those verbs make sense because disease announces itself through disruption.

But healthy physiology depends just as much on what happens after disruption. A fever must come down. An immune response must retreat. Damaged material must be removed. Tissue must reorganize itself. Cells recruited for an emergency cannot remain indefinitely in emergency mode. Healing therefore requires something that fighting does not: an ending.

Efferocytosis is one of the mechanisms that helps create that ending. I find that idea increasingly compelling because it changes how we think about biological resilience. Health is not simply the ability to resist damage. No organism can do that indefinitely. Cells will die. DNA will be injured. Proteins will misfold. Infections will occur. Tissues will be stressed. The question is what happens afterward.

Your Body Is Not a Static Thing

We often imagine ourselves as collections of permanent structures. My heart. My skin. My lungs. My brain. But the apparent stability of a body conceals astonishing turnover. Cells disappear and are replaced. Molecules are dismantled and rebuilt. Immune cells patrol tissues, respond to disturbances, and then change state again. The continuity we experience is constructed from constant replacement.

Perhaps that is why the biology of cleanup has been relatively easy to overlook. Successful removal leaves almost nothing to see. There is no scar, no fever, no dramatic symptom announcing that a macrophage has just engulfed a cell that no longer belongs. The evidence of success is absence. No inflammation. No accumulation. No alarm. Just tissue continuing to function as though nothing happened.

Researchers are now investigating whether manipulating efferocytosis might eventually help treat inflammatory and age-related diseases. That possibility is intriguing, but much of this work remains mechanistic or preclinical. We are considerably better at describing the cleanup machinery than at safely turning it into therapies. For now, the more interesting lesson may be the simpler one.

Every day, enormous numbers of cells reach the end of their lives inside us. Most disappear without ceremony because another cell recognizes what has happened, carries away the remains, and helps restore quiet. With age, that clearance can become less efficient. The reasons appear to involve changes in the macrophages themselves as well as the inflammatory and metabolic environments in which they work. The biology is still being unraveled, but the larger principle is already striking: resilience depends not only on responding to damage, but on resolving it.

We spend a great deal of time thinking about how the body fights. Some of its most impressive work begins when the fighting is over.

If you enjoy exploring the hidden biology behind how we age, recover, and maintain our capacity, I explore one question like this each week in The Capacity Report. You can join me here.

The post Your Body Is Quietly Eating Its Dead Cells appeared first on Medika Life.

Scientists have known about this problem for years and are now speaking up more openly. Most drugs that pass animal testing still fail once they are tried in humans. Different studies report different numbers, but many put the failure rate above 90 percent. That means for roughly every ten drugs that look promising and safe in a mouse or a rat, only about one will end up helping a real patient. Some researchers say that number gets used out of context, since animal testing is meant to catch problems early, not guarantee a drug will succeed. Nearly everyone in the field agrees the gap between animal results and human results is real, and it is large.

This isn’t a small technical detail. It means patients wait longer for treatments. It means research money gets spent chasing drugs that would never work in people. And for conditions like cancer, Alzheimer’s, and other brain diseases, it may be one reason so few genuine breakthroughs have reached the people who need them most.

Why a Mouse Body Isn’t a Human Body

The core issue is that animals and humans, while similar, are not the same. A disease that shows up in a mouse doesn’t always behave the way it does in a person. Sometimes it doesn’t show up in the animal at all.

Matthias Zilbauer, a doctor and researcher at the Cambridge Stem Cell Institute, put it plainly: “A lot of human diseases either do not occur in animals or occur in a different way because they’re not human. We want tests and models that can tell us which treatments work, and in what patients, and a mouse cannot tell us that.”

A recent study from Stanford looked closely at why dementia treatments that work well in mice keep failing in human trials. The researchers found that most mouse studies test a drug early, before any real signs of disease appear. Human trials almost always involve people who are already sick. Giving a drug to a healthy mouse before a disease starts is a very different test than giving that same drug to a person who already has memory loss or brain damage.

The study also found that most mouse research only used male mice, which means treatments that might work differently in women were never properly tested to begin with. In this sex bias, it is something that, in the past, has been endemic in research, with most results reflecting work with males, not females.

None of this means animal research is worthless. It has led to real, life-saving treatments for vaccines, cancer, and countless other conditions. But it also means animal results have limits that haven’t always been discussed honestly, and those limits matter most for diseases we still don’t know how to cure.

New Tools Built From Human Cells

Because of gaps like these, researchers in the UK are now building tools made directly from human tissue instead of relying only on animals.

In Cambridge, scientists are growing tiny clumps of human organs, called organoids, using cells donated by NHS patients. These clumps, some smaller than a millimeter, can mirror how an actual organ behaves, including how it responds to disease and to new drugs. Researchers are starting with organoids for bowel diseases like Crohn’s disease and ulcerative colitis, along with organoids to study tumors and brain conditions.

Other researchers are building “organ-on-a-chip” devices, small devices lined with real human cells that mimic how a drug moves through the body. One company, VivoSphere, is growing heart cells in small gel spheres to catch dangerous drugs before they ever reach an animal or a patient. As the company’s Yuan Tian explained, “If something is going to fail, there’s a lower risk for the animals and also for the patients.”

The UK government has backed this shift with money and deadlines. Under a new national roadmap, regulatory skin and eye irritation testing on animals is set to end by the close of 2026. Botox strength testing on mice is expected to end by 2027, replaced by lab-based methods that don’t require a live animal at all.

By 2030, the government wants to sharply cut testing on dogs and primates that tracks how drugs move through the body. In total, the UK has committed 75 million pounds to build out these new methods and make it easier for researchers to get them approved for use.

The United States is moving in a similar direction. In 2025, the FDA announced it would begin accepting artificial intelligence models, advanced lab-grown tissue tests, and other non-animal methods in place of some animal studies, starting with a pilot program for a class of drugs called monoclonal antibodies.

Why Animals Still Matter, and Why This Isn’t Simple

None of this means animal testing is about to disappear, and it would be unwise to suggest otherwise. Under UK law, animals cannot be used in research if a working non-animal method already exists to answer the same question. But for many questions, that alternative doesn’t exist yet.

Wendy Jarrett, who leads the group Understanding Animal Research, made this point clearly: animals have been fundamental to the discovery of most medicines available today, and to treating disease in people and animals alike. Edith Heard, director of the Francis Crick Institute, said much the same, noting that animal research remains necessary for complex diseases like cancer and Alzheimer’s, even as her institute works to reduce and replace it wherever possible.

This is also, importantly, a question of animal welfare, not just scientific accuracy. Last year in Britain alone, 2.54 million animal testing procedures were carried out, most involving mice, rats, fish, and birds. A small percentage involved dogs, cats, horses, and monkeys. Reducing that number matters on its own terms, separate from whether animal tests are scientifically reliable.

Groups on both sides, from the RSPCA to the pharmaceutical industry, have welcomed the UK’s new roadmap, which suggests this is one of the rare issues where scientists, drug companies, and animal welfare advocates largely agree on the direction, even if they disagree on how fast to move.

What seems to emerge is not a choice between animals and no animals, but a more honest reckoning with what animal testing can and cannot tell us. As Dr. Juliet Dukes of the charity Replacing Animals in Research put it, tools built from real human tissue have the potential to deliver something animal testing never could: medicine built around the actual patient in front of a doctor, not just the mouse in the lab down the hall.

The post Nine Out of Ten Cures Never Reach You appeared first on Medika Life.

There is a lot of noise out there about how to take care of our brain. Trying to distinguish between an array of unverified products and wellness hacks – the “lotions and potions” of brain health – can feel like a thankless task.

In the midst of historic momentum with the research pipeline for new therapeutics and diagnostics for Alzheimer’s and other neurodegenerative diseases, it’s important for people to know what they can do in the decades before cognitive decline may emerge. Increasingly, neuroscientists are making the case for actionable, evidence-based lifestyle interventions.

To better understand how everyday choices, nutrition, and environmental factors influence cognitive longevity, I recently spoke with Dr. Ramon Velazquez, an associate professor at Arizona State University and an Advisory Board Member at Performance Lab. Here are some key takeaways from that dynamic conversation.

Lifestyle factors belong in the spotlight

While much of the medical community remains focused on pharmaceutical treatments for conditions like Alzheimer’s disease, lifestyle interventions offer immense, underutilized potential for preserving cognitive health. Physical exercise, strong social ties, and continuous cognitive engagement actively stimulate brain cells, building what Dr. Velazquez and other neuroscientists call “cognitive resilience.”

The challenge is delivering effective messaging that resonates with people and offers manageable steps they can take regularly. Dr. Velazquez noted that shifting the public narrative requires making brain science relatable rather than overwhelming. “You get a lot of stuff that goes into the media that’s really high level that people just don’t understand. So we need to bring it to a level where people can absorb it,” he said.

By breaking down complex neuroscience into accessible concepts, individuals can better recognize how routine activities protect neurons against age-related decline. This is especially important in helping people overcome “omission bias” — ignoring preventative care simply because symptoms are not immediately visible. Pathological changes in the brain can begin up to 40 years before clinical symptoms manifest, making early adoption of healthy habits essential.

Addressing the misconception that preventative steps are not necessary unless immediate dramatic results are felt is one of the most important imperatives that neuroscientists and primary care physicians should be tackling today.

Feed your brain: the role of choline and inflammation

Diet plays an equally vital role in shielding the brain from cognitive decline and neuroinflammation, which underlies virtually all neurodegenerative disorders. Managing inflammation, particularly in our younger and middle years, could deliver profound changes in brain health outcomes later in life.

Dr. Velazquez highlighted essential nutrients that remain widely under-consumed, particularly choline. As a B-vitamin-like nutrient, choline serves as a building block for cell membranes and for acetylcholine, a crucial neurotransmitter involved in learning and memory. “What we found is that if you look at individuals who are at risk of disorders like Alzheimer’s disease and also just mild cognitive impairment, they typically consume less dietary choline and also exhibit lower levels of circulating blood levels of choline,” he said.  This is concerning, as a large portion of the population is unaware that choline is a necessary nutrient that must be consumed daily for vital bodily and brain functions.

Before rushing out to stock up on choline supplements, however, consider where this important nutrient naturally occurs. The very foundation of the Mediterranean diet, which is linked to longevity and healthy aging, is rich in choline sources, including egg yolks, poultry, salmon, leafy greens, and beans. The National Institutes of Health has some great information here on including choline in our diets.

Fostering Community-Driven Brain Health

Individual efforts are far more effective when supported by an engaging environment. Dr. Velazquez stresses the necessity of community engagement, family buy-in, and relatable role models to sustain long-term lifestyle changes and brain health.

Communicating research directly to the public remains at the core of his mission. “I enjoy giving scientific talks to scientists, but I enjoy giving talks related to health and disease to the community much more. Because I feel like that is what our job is. We’re funded by taxpayer dollars, and we should be giving back to the community,” he said.

Through accessible science education, dietary optimization, and active community outreach, bridging the gap between the latest neurological research and everyday habits offers the clearest path toward lifelong cognitive vitality.

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