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A golden age of science is coming
It’s almost hard to remember, but just a few years ago, a lot of very smart people thought that science was in terminal decline. Respected researchers were writing papers with titles like “Are Ideas Getting Harder to Find?”, “Papers and patents are becoming less disruptive over time”, and “Slowed canonical progress in large fields of science”. In 1996, science writer John Horgan even published a book called The End Of Science: Facing The Limits Of Knowledge In The Twilight Of The Scientific Age. The fundamental idea was that the Universe only has so many insights to discover, and that we’ve picked the low-hanging fruit. It was the idea that Joseph-Louis Lagrange expressed when he said that “we cannot find more than once a system of the world to establish.” As the big ideas and the simple ideas get mined out, we’re forced to throw ever more brains at the mysteries of nature just to keep scientific progress going at a fraction of its old pace: It looked like science was hitting a wall. Then along came AI. It’s far too early to tell how much AI will eventually speed up the growth of total factor productivity. But already we can see signs of a speedup in science. Anthropic Founder Jack Clark assembled some of the hopeful data points in a recent lecture: [ Dror Poleg@drorpoleg "If you pick different parts of science, you see the same pattern show up: Progress is accelerating, and it has started to accelerate in the last two years." Jack Clark @jackclarkSF I’m speaking at the IMF in an hour about the singularity and why I believe it has begun and the choices we'll need to make. Watch live here: https://t.co/Hj9HzcXx5h 6:08 PM · Oct 18, 2026 · 21.2K Views 2 Replies · 10 Reposts · 123 Likes ](https://x.com/drorpoleg/status/2111882070376980529) Anthropic is accelerating its investment into drug discovery, and is already announcing some impressive preliminary results: [ BioTender@Junioryu136689 BREAKING: Anthropic unveils early results from six Claude-powered drug development collaborations. • 70% shorter CAR-T signaling domain • ~35,000 antibody designs • >10× tighter antibody binding • 89% less batch-record review time Still largely preclinical. Anthropic @AnthropicAI Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of 9:43 PM · Oct 27, 2026 · 11.2K Views 3 Replies · 24 Reposts · 205 Likes ](https://x.com/Junioryu136689/status/2115197821150495150) Claude also appears to be enabling rapid progress toward a treatment for food allergies. OpenAI, meanwhile, announced a possible breakthrough treatment for neurodegenerative disease. Meanwhile, Google Cloud Chief Scientist Pushmeet Kohli has a list of recent scientific advances that have been enabled by its new Gemini model, including breakthroughs in nuclear fusion reactor design, rare disease research, and quantum computing: [ Pushmeet Kohli@pushmeet Gemini 4 Argon is a step change in model performance. In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇 4:47 PM · Oct 13, 2026 · 36.5K Views 8 Replies · 41 Reposts · 497 Likes ](https://x.com/pushmeet/status/2110049807385702623) But as cool as these stories sound, they’re just very minor, preliminary efforts. There are a number of reasons to think that AI is going to propel us into a golden age of scientific discovery. That age might not last forever — AI might still run into diminishing returns eventually. But the next few decades are probably going to be an absolutely amazing time for human science. The number of “effective researchers” is no longer limited The most important input into science is scientists themselves. Until this year, that meant human brains — talented, highly trained human brains. The number of trained human brains could be increased by sending more people to grad school, but only to a point — the smartest people tend to be sent into the hardest research fields first, and if you 10x the number of researchers, the average quality will go down. This constraint was already starting to bite, as Ekerdt and Wu argued in 2024: We argue that a substantial portion of the downward historical trend in U.S. research productivity is a composition effect resulting from self-selection in researcher ability and the dramatic expansion of the research sector…[W]e find that this composition effect has lowered average researcher ability by between 37% and 53%[.] And of course, low fertility was making the problem worse, because fewer children meant fewer people who were able to become future scientists. AI just blows up this constraint completely. If an AI agent can function as an autonomous researcher, there’s no constraint on the number of researchers in the world — you can just build more of them, by building more computer chips and data centers that enable the running of more AI agents. Whether or not massive hordes of agents can collaborate to solve individual problems much faster, increasing the number of agents allows them to tackle many different research questions in parallel. What’s more, these AI “researchers” can be trained incredibly quickly compared to human beings. A human scientist takes decades to train, and more years to reach the frontier of their research field by diligent reading and conversation. This is the “burden of knowledge”, and it’s commonly believed to be one reason ideas have been getting harder to find — by the time human scientists can get up to speed, they’re often so old that their ideas are no longer novel. AI just annihilates this constraint — it can assimilate the entire literature and reach the frontier of research extremely quickly, and it can also tell human scientists where the frontier lies without forcing them to discover that for themselves. It can also pivot to new research directions more easily than humans can. And there’s also a self-reinforcing economic cycle here. Because scientific advances enable higher GDP, they enable more resources to be invested into the creation of yet more electronic “scientists”. Now that doesn’t mean the amount of scientific research goes to infinity — there may still be some essential bottleneck task that human researchers are still needed to perform. There are some indications that AI’s progress on open-ended conceptual research tasks is slower than in other dimensions, and it may be that humans are still needed to provide some of this long-term conceptual thinking. I’d bet against this being true for much longer, but it might be true for a long time. Even in this most “pessimistic” case, though, the amount of effective capital that scientists can use to leverage their work just went up by a lot. AI eliminates the theory bottleneck Science proceeds by an iterative process of theory and experiment. The theory part of that cycle is typically short, but non-trivial — it took a couple of years after the blackbody radiation spectrum was observed for Max Planck to come up with the quantum hypothesis to explain it, and decades longer before quantum theory as we now know it was created. It took about a year for Watson and Crick to figure out the shape of DNA after the requisite data was gathered. AI will basically eliminate the theory bottleneck entirely — or at least shorten the turnaround time between experiment and theory by an order of magnitude. AI is an absolute beast at math. Recently, an OpenAI model solved some of the most important open problems in computer science, math, and theoretical physics, and no one even batted an eyebrow because that sort of triumph is becoming increasingly commonplace. One of those solutions was a proof that the Standard Model of Particle Physics could be mathematically well-defined — a problem that human theorists had so far been unable to tackle. Not all research relies equally on theory, but understanding novel experimental results almost always involves some important component of either mathematical or spatial reasoning. That part of the task has now been made much, much faster. And on top of that, science is now open to a greater number of humans who aren’t naturally good at theorizing. AI can read the whole literature Much of the work of human scientists involves reading and understanding endless amounts of papers and going to endless conferences and seminars. The purpose of that work is to understand the existing scientific literature. Understanding the literature allows scientists to do the following things: Come up with new ideas for hypotheses to test Avoid doing research that someone else has already done Synthesize approaches from different areas or fields AI can reduce this effort to almost zero. Consider this excerpt from OpenAI’s blog post about their new research into neurodegenerative disease: The team divided the analysis among thousands of AI agents powered by GPT‑Rosalind, an approach we call distributed biological reasoning. The agents examined a whole-brain CRISPR atlas…a dataset showing how gene disruptions affect different types of cells across the mouse brain. Each agent investigated a gene disruption, analyzed cellular responses, searched scientific literature, and proposed explanations for the results. Their reports were combined into a reasoning atlas linking genes, cellular effects, relevant publications, and possible biological mechanisms. The research team estimated that comparable human analysis and literature review, conducted one perturbation at a time, would take months to a year. The agents reproduced findings from human analyses while uncovering additional leads. Their assessments of novelty and scientific value also aligned with judgments from blinded human experts. These findings help prioritize further experiments needed to test the proposed biological mechanisms. Some of these insights point to new leads for understanding brain disease. [emphasis mine] This is one case in which parallel work by a large number of agents really does make a huge difference: [ Haider.@haider1 this is actually insane openai deployed thousands of GPT-Rosalind agents to analyze millions of mouse brain cells in 32 minutes, work that could take human researchers months to a year also the agents uncovered new leads for brain diseases like Alzheimer's and Parkinson's OpenAI @OpenAI GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in 2:41 PM · Oct 21, 2026 · 51.5K Views 26 Replies · 95 Reposts · 1.26K Likes ](https://x.com/haider1/status/2112917197903540516) Not only does instantaneous literature review vastly speed up the research process, but it allows AI to make novel conceptual leaps from combining approaches from wildly different fields of research. AI regularly does this in math research, combining results, approaches, and theorems from far-flung places that no human mathematician would have thought to combine. It can do it in science, too. Much of scientific innovation, historically, has been “recombinant” innovation — scientists applying insights from one field to another. With AI, essentially all research is now cross-disciplinary — AI can read not just the literature on a particular subject, but the literature on a million other subjects that might have produced useful techniques or insights for the problem at hand. Superscience So far, all of the factors I’ve listed are ways that AI can speed up science as it’s already done. I’ve basically described how AI can send gigantic hordes of superhumanly fast, superhumanly well-read, superhumanly mathematically gifted researchers to re-accelerate scientific discovery. But it’s also possible that AI will enable types of discovery — and ways of understanding the natural world — that no network of humans, no matter how large or how brilliant it was or how long it had to work, would ever be able to discover. In a post back in July, I wrote about how that might work: What if there are lots of…aspects of the Universe that [are] too complex to understand in terms of simple laws, but not so complex that they just dissolve into unknowable chaos? It’s possible that we can reliably control these complex phenomena with AI, even if we never reduce them to the kind of principles that we can teach a grad student in a textbook… Another way of saying this is that there may be laws of the universe that humans can’t understand but AI can. I call these “cloud laws” — causal regularities that can be exploited by technology, but which are too diffuse and complex for an individual human being to either intuit or communicate… Perhaps social sciences like economics, sociology, and political science obey similarly complex regularities, and AI can help us find them. Perhaps there are physical processes — plasma, or topological materials, or aerial turbulence, etc. — that obey cloud laws instead of chaos?… [H]uman collaboration is bottlenecked — it’s limited by our ability to intuit patterns at an individual level, and to communicate these patterns from one individual to another. AI, being a computer, just doesn’t have this sort of limitation; it can work with vast, diffuse patterns without having to break them into pieces or simplify them in order to compress them into the tiny pipelines of person-to-person explanation… If much of the Universe turns out to be ruled by cloud laws, we could be on the precipice of a scientific renaissance. In order to discover cloud laws, AI will need huge amounts of data about the natural world. AI figured out human speech by assimilating essentially all of the text humans have ever written. If it’s going to figure out hidden patterns in biology, neuroscience, materials science, etc., it’s going to need similarly massive amounts of data from physical instruments. That data will be far, far more than humans — individually or collectively — would be able to parse, label, characterize, or model. But AI was built to do this. If scientists simply build huge arrays of sensors to measure complex phenomena like the brain, the cell, the economy, etc., they may be able to feed this flood of data to AI directly and bypass human cognitive intermediation entirely. AI would then learn about the world directly, and it might learn things that humans never could. This “superscience”, if you want to call it that, would actually go beyond the kind of science humans have done heretofore. Many of the technologies it yielded would be beyond human comprehension — indistinguishable from magic. But to the AIs, they would make perfect scientific sense. In any case, it seems clear that the scientific slowdown that threatened human progress will now be delayed — at least for a while. Unless humans have somehow found most of the actual exploitable regularities in our Universe, we’re about to enter a new golden age of science. Subscribe Share
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8 Daily Habits to Support Your Heart, Kidney and Metabolic Health
(Feature Impact) When it comes to protecting your heart, supporting your kidney function and improving your metabolic health, you’ll find the advice for each one looks similar. That’s because your body’s systems are deeply interconnected: what affects one will have ripple effects across the others.Cardiovascular-kidney-metabolic health, or CKM health, is a perfect example. When any one of these systems is compromised, it can lead to problems with the others. Therefore, it’s not uncommon for health problems like heart disease, stroke, diabetes and kidney disease to develop or worsen simultaneously – a condition collectively known as CKM syndrome.The reverse is also true, so habits that are healthy for your heart will have a positive effect on your kidneys and metabolic system and vice versa. Consider these simple strategies that align with the American Heart Association’s Life’s Essential 8, a list of healthy steps that can improve overall health. Learn more about how these habits and health measures affect your CKM health at Heart.org.Choose Healthy Foods – Food is your body’s fuel, so fill your tank wisely. Certain types of foods can help your blood pressure, cholesterol, blood glucose and triglycerides stay within healthy ranges, while poor nutrition can push those numbers into more dangerous territory. Focus on vegetables, fruits, whole grains, plant-based proteins (e.g. beans, legumes and nuts) and lean animal proteins (e.g. seafood, skinless poultry and low-fat dairy). Drink plenty of water throughout the day and limit added sugar and salty or fatty foods.Stay Physically Active – Exercise doesn’t have to feel like a chore – in fact, some of your favorite hobbies may already count. The American Heart Association recommends aiming for 150 minutes per week of moderate physical activity like dancing, gardening or walking, moving quickly enough to elevate your heart rate and break a light sweat. Alternatively, choose 75 weekly minutes of vigorous exercise that gets you breathing hard and fast; think running, swimming, playing tennis or riding your bike on hilly terrain.Avoid Nicotine – Tobacco and other nicotine products can raise your blood pressure, damage blood vessels and increase your risk of heart attack and stroke, which are all bad news for your CKM health. If you’re currently trying to quit, you aren’t alone, so don’t be afraid to seek out support groups and resources to help.#placement_976606_0_i{width:100%;max-width:550px;margin:0 auto;}var rnd = window.rnd || Math.floor(Math.random()*10e6);var pid976606 = window.pid976606 || rnd;var plc976606 = window.plc976606 || 0;var abkw = window.abkw || '';var absrc = 'https://ads.empowerlocal.co/adserve/;ID=181918;size=0x0;setID=976606;type=js;sw='+screen.width+';sh='+screen.height+';spr='+window.devicePixelRatio+';kw='+abkw+';pid='+pid976606+';place='+(plc976606++)+';rnd='+rnd+';click=CLICK_MACRO_PLACEHOLDER';var _absrc = absrc.split("type=js"); absrc = _absrc[0] + 'type=js;referrer=' + encodeURIComponent(document.location.href) + _absrc[1];document.write('');Prioritize Healthy Sleep – Sleep gives your body a chance to rest and recover from the day, but it’s often one of the first things people sacrifice when life gets busy. Poor sleep can increase your risk for heart disease, weight gain and other issues. Aim for a solid 7-9 hours a night. Keep your bedroom cool, dark and comfortable, and do your best to limit distractions like late-night smartphone scrolling.Watch Your Blood Pressure – When your blood pressure is high, it forces your heart to work harder to pump blood through the body, which can weaken it over time. It can also damage the delicate arteries in and around the kidneys, putting CKM health further at risk. Information is power, so check your blood pressure frequently to know whether further action is needed to keep it under control.Manage Your Blood Sugar – High blood sugar can damage the kidneys, eyes, blood vessels and more, thereby increasing your chance of developing harmful CKM conditions. Controlling blood sugar is particularly important for people with diabetes. If you don’t have diabetes and still experience frequent blood sugar spikes and crashes, talk to your doctor.Control Your Cholesterol – Cholesterol comes in both “bad” (LDL) and “good” (HDL) forms, requiring a balancing act to keep your levels within a healthy range. If LDL is high and HDL is low, your risk of clogged blood vessels, heart attack and stroke are higher. Healthy levels keep blood flowing to your heart and kidneys, supporting your metabolic health in the process. See your doctor for regular bloodwork so you can monitor cholesterol changes.Maintain a Healthy Weight – Since excess body weight puts pressure on the heart, kidneys and other organs, a healthy body weight helps lower your risk of CKM syndrome. Whether you’re hoping to maintain or reduce your weight, regular exercise, healthy eating and quality sleep are all great ways to achieve your goals.
8 Daily Habits to Support Your Heart, Kidney and Metabolic Health
(Feature Impact) When it comes to protecting your heart, supporting your kidney function and improving your metabolic health, you’ll find the advice for each one looks similar. That’s because your body’s systems are deeply interconnected: what affects one will have ripple effects across the others.#placement_1126610_0_i{width:100%;max-width:550px;margin:0 auto;}var rnd = window.rnd || Math.floor(Math.random()*10e6);var pid1126610 = window.pid1126610 || rnd;var plc1126610 = window.plc1126610 || 0;var abkw = window.abkw || '';var absrc = 'https://ads.empowerlocal.co/adserve/;ID=181918;size=0x0;setID=1126610;type=js;sw='+screen.width+';sh='+screen.height+';spr='+window.devicePixelRatio+';kw='+abkw+';pid='+pid1126610+';place='+(plc1126610++)+';rnd='+rnd+';click=CLICK_MACRO_PLACEHOLDER';var _absrc = absrc.split("type=js"); absrc = _absrc[0] + 'type=js;referrer=' + encodeURIComponent(document.location.href) + _absrc[1];document.write('');Cardiovascular-kidney-metabolic health, or CKM health, is a perfect example. When any one of these systems is compromised, it can lead to problems with the others. Therefore, it’s not uncommon for health problems like heart disease, stroke, diabetes and kidney disease to develop or worsen simultaneously – a condition collectively known as CKM syndrome.The reverse is also true, so habits that are healthy for your heart will have a positive effect on your kidneys and metabolic system and vice versa. Consider these simple strategies that align with the American Heart Association’s Life’s Essential 8, a list of healthy steps that can improve overall health. Learn more about how these habits and health measures affect your CKM health at Heart.org.Choose Healthy Foods – Food is your body’s fuel, so fill your tank wisely. Certain types of foods can help your blood pressure, cholesterol, blood glucose and triglycerides stay within healthy ranges, while poor nutrition can push those numbers into more dangerous territory. Focus on vegetables, fruits, whole grains, plant-based proteins (e.g. beans, legumes and nuts) and lean animal proteins (e.g. seafood, skinless poultry and low-fat dairy). Drink plenty of water throughout the day and limit added sugar and salty or fatty foods.Stay Physically Active – Exercise doesn’t have to feel like a chore – in fact, some of your favorite hobbies may already count. The American Heart Association recommends aiming for 150 minutes per week of moderate physical activity like dancing, gardening or walking, moving quickly enough to elevate your heart rate and break a light sweat. Alternatively, choose 75 weekly minutes of vigorous exercise that gets you breathing hard and fast; think running, swimming, playing tennis or riding your bike on hilly terrain.Avoid Nicotine – Tobacco and other nicotine products can raise your blood pressure, damage blood vessels and increase your risk of heart attack and stroke, which are all bad news for your CKM health. If you’re currently trying to quit, you aren’t alone, so don’t be afraid to seek out support groups and resources to help.Prioritize Healthy Sleep – Sleep gives your body a chance to rest and recover from the day, but it’s often one of the first things people sacrifice when life gets busy. Poor sleep can increase your risk for heart disease, weight gain and other issues. Aim for a solid 7-9 hours a night. Keep your bedroom cool, dark and comfortable, and do your best to limit distractions like late-night smartphone scrolling.Watch Your Blood Pressure – When your blood pressure is high, it forces your heart to work harder to pump blood through the body, which can weaken it over time. It can also damage the delicate arteries in and around the kidneys, putting CKM health further at risk. Information is power, so check your blood pressure frequently to know whether further action is needed to keep it under control.Manage Your Blood Sugar – High blood sugar can damage the kidneys, eyes, blood vessels and more, thereby increasing your chance of developing harmful CKM conditions. Controlling blood sugar is particularly important for people with diabetes. If you don’t have diabetes and still experience frequent blood sugar spikes and crashes, talk to your doctor.Control Your Cholesterol – Cholesterol comes in both “bad” (LDL) and “good” (HDL) forms, requiring a balancing act to keep your levels within a healthy range. If LDL is high and HDL is low, your risk of clogged blood vessels, heart attack and stroke are higher. Healthy levels keep blood flowing to your heart and kidneys, supporting your metabolic health in the process. See your doctor for regular bloodwork so you can monitor cholesterol changes.Maintain a Healthy Weight – Since excess body weight puts pressure on the heart, kidneys and other organs, a healthy body weight helps lower your risk of CKM syndrome. Whether you’re hoping to maintain or reduce your weight, regular exercise, healthy eating and quality sleep are all great ways to achieve your goals.
8 Daily Habits to Support Your Heart, Kidney and Metabolic Health
(Feature Impact) When it comes to protecting your heart, supporting your kidney function and improving your metabolic health, you’ll find the advice for each one looks similar. That’s because your body’s systems are deeply interconnected: what affects one will have ripple effects across the others.#placement_1126603_0_i{width:100%;max-width:550px;margin:0 auto;}var rnd = window.rnd || Math.floor(Math.random()*10e6);var pid1126603 = window.pid1126603 || rnd;var plc1126603 = window.plc1126603 || 0;var abkw = window.abkw || '';var absrc = 'https://ads.empowerlocal.co/adserve/;ID=181918;size=0x0;setID=1126603;type=js;sw='+screen.width+';sh='+screen.height+';spr='+window.devicePixelRatio+';kw='+abkw+';pid='+pid1126603+';place='+(plc1126603++)+';rnd='+rnd+';click=CLICK_MACRO_PLACEHOLDER';var _absrc = absrc.split("type=js"); absrc = _absrc[0] + 'type=js;referrer=' + encodeURIComponent(document.location.href) + _absrc[1];document.write('');Cardiovascular-kidney-metabolic health, or CKM health, is a perfect example. When any one of these systems is compromised, it can lead to problems with the others. Therefore, it’s not uncommon for health problems like heart disease, stroke, diabetes and kidney disease to develop or worsen simultaneously – a condition collectively known as CKM syndrome.The reverse is also true, so habits that are healthy for your heart will have a positive effect on your kidneys and metabolic system and vice versa. Consider these simple strategies that align with the American Heart Association’s Life’s Essential 8, a list of healthy steps that can improve overall health. Learn more about how these habits and health measures affect your CKM health at Heart.org.Choose Healthy Foods – Food is your body’s fuel, so fill your tank wisely. Certain types of foods can help your blood pressure, cholesterol, blood glucose and triglycerides stay within healthy ranges, while poor nutrition can push those numbers into more dangerous territory. Focus on vegetables, fruits, whole grains, plant-based proteins (e.g. beans, legumes and nuts) and lean animal proteins (e.g. seafood, skinless poultry and low-fat dairy). Drink plenty of water throughout the day and limit added sugar and salty or fatty foods.Stay Physically Active – Exercise doesn’t have to feel like a chore – in fact, some of your favorite hobbies may already count. The American Heart Association recommends aiming for 150 minutes per week of moderate physical activity like dancing, gardening or walking, moving quickly enough to elevate your heart rate and break a light sweat. Alternatively, choose 75 weekly minutes of vigorous exercise that gets you breathing hard and fast; think running, swimming, playing tennis or riding your bike on hilly terrain.Avoid Nicotine – Tobacco and other nicotine products can raise your blood pressure, damage blood vessels and increase your risk of heart attack and stroke, which are all bad news for your CKM health. If you’re currently trying to quit, you aren’t alone, so don’t be afraid to seek out support groups and resources to help. Prioritize Healthy Sleep – Sleep gives your body a chance to rest and recover from the day, but it’s often one of the first things people sacrifice when life gets busy. Poor sleep can increase your risk for heart disease, weight gain and other issues. Aim for a solid 7-9 hours a night. Keep your bedroom cool, dark and comfortable, and do your best to limit distractions like late-night smartphone scrolling.Watch Your Blood Pressure – When your blood pressure is high, it forces your heart to work harder to pump blood through the body, which can weaken it over time. It can also damage the delicate arteries in and around the kidneys, putting CKM health further at risk. Information is power, so check your blood pressure frequently to know whether further action is needed to keep it under control.Manage Your Blood Sugar – High blood sugar can damage the kidneys, eyes, blood vessels and more, thereby increasing your chance of developing harmful CKM conditions. Controlling blood sugar is particularly important for people with diabetes. If you don’t have diabetes and still experience frequent blood sugar spikes and crashes, talk to your doctor.Control Your Cholesterol – Cholesterol comes in both “bad” (LDL) and “good” (HDL) forms, requiring a balancing act to keep your levels within a healthy range. If LDL is high and HDL is low, your risk of clogged blood vessels, heart attack and stroke are higher. Healthy levels keep blood flowing to your heart and kidneys, supporting your metabolic health in the process. See your doctor for regular bloodwork so you can monitor cholesterol changes.Maintain a Healthy Weight – Since excess body weight puts pressure on the heart, kidneys and other organs, a healthy body weight helps lower your risk of CKM syndrome. Whether you’re hoping to maintain or reduce your weight, regular exercise, healthy eating and quality sleep are all great ways to achieve your goals.
Free cholesterol tests on the NHS are great – but here’s the five-point health MOT I’d really like to see
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Lifestyle Medicine and the Science of Cholesterol Reduction: A Systematic Review of Non-medication Approaches Among Adults
Dyslipidemia is a major modifiable risk factor for cardiovascular disease and remains highly prevalent despite advances in lipid-lowering therapy. Lifestyle medicine has emerged as a comprehensi...
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FDA approves first cholesterol pill of its kind
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Merck’s cholesterol pill gets US FDA approval
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Over-40s with obesity have normal-BMI cholesterol and blood pressure levels, study finds
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Cancer dominates PFAS conversations — science points elsewhere
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Genes vs. environment: What really determines your health?
A family history of heart disease, diabetes or high cholesterol can feel like a warning about what’s ahead, but genes are only part of the story.
Genes vs. environment: What really determines your health?
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Dr. Elisabeth Rosenthal on health care
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Phone calls from a pharmacist could help people achieve healthy cholesterol, say researchers
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Role of Physical Activity in Obesity Treatment and Cardiometabolic Health
Obesity affects 42% of adults in the United States and is strongly associated with major cardiovascular disease risk factors, including high blood pressure, abnormal cholesterol levels, and insulin resistance, making effective obesity treatment a critical public health priority.
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Experts have found a new type of cholesterol. And it could be the most dangerous | BBC Science Focus Magazine
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How jellyfish bycatch could be valuable collagen source for cosmetics and biotech
Dr Ainara Ballesteros is a Juan de la Cierva postdoctoral researcher at the Institute of Environment and Marine Science Research at the Catholic University of Valencia, where she leads a research group focused on jellyfish biology, aquaculture, and the sustainable use of marine resources. Her work is centered on developing innovative solutions based on marine science, particularly through the study of underused organisms as sources of high-value compounds within circular bioeconomy and zero-waste strategies. She is joined in this work by Raquel Torres, a PhD student at the same institute, who is carrying out her doctoral thesis within this line of research, focused on jellyfish valorization, collaboration with the fishing sector, and the sustainable management of marine resources. They are co-authors on a new Frontiers in Marine Science article which investigated whether jellyfish accidentally caught by small-scale fishers in Spain could be transformed into a valuable resource instead of being treated as waste. The team worked side by side with fishers to better understand their perceptions of jellyfish bycatch, identify which species are most frequently caught, and evaluate whether one of them, Rhizostoma pulmo, could serve as a sustainable source of high-quality collagen.
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Louisiana falls behind in cholesterol screenings as new guidelines emerge. See the data.
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Your Thymus and Your Healthspan
Our thymus gland plays a central role in the development or our immune system, specifically for supporting T cell development (how these cells got their name, maturation and differentiation in the thymus) and discriminating between self and foreign, non-self antigen proteins with production of dendritic cells. As we age, our thymus gland shrinks—the process known as involution—with progressive change from spongy to fatty tissue, with loss of functionality. But this process, with respect to timeline and extent, markedly varies from one person to the next. And to make things even more complicated, our thymus gland anatomy and precise location in the chest also is highly variable. So the famous Frank Netter diagrams from the 1960s (such as at left below) don’t capture the remarkable heterogeneity that a random set of 12 chest CT scans (below at right). What I consider as 2 landmark papers in Nature this week (here and here) used AI to quantify health of the thymus in 2 large cohorts, and then correlate the metric to a broad array of health outcomes. In this edition of Ground Truths, I’m going to cover three questions: (1) How was thymus health determined by AI?; (2) How is thymus health linked to key clinical outcomes? and (3) Are there ways we can promote a healthy (aka rejuvenate) thymus gland in our later years? Subscribe 1. How was thymus health determined by AI? This was accomplished by extensive work developing and validating an AI pipeline for 2 stages, the first for localization and segmentation of the thymus bed, and the second to quantify a digital marker, termed the thymic health score. There’s a lot to this algorithmic development, so I won’t go into all the details, but just provide a rudimentary outline of what was done. The 1st stage used supervised learning with 2 radiologists reviewing 2,461 chest CT scans. That work trained a 3D U-Net model to automatically identify the thymic bed’s 3D cropped region using center of mass coordinates, which reached 99.8% accuracy. The 2nd stage used a foundation model that was pre-trained with SwAV (which stands for Swapping Assignment between multiple Views), a self-supervised model, that generated a high-dimensional thymus representation of 4,096 features. That compares to the radiology reductionist and subjective scoring of 0 to 3 where 0 means the thymus is fully degenerated and fatty, and 3 is considered dense, intact glandular soft tissue. Notably, the self-supervised learning (SSL) performance was superior to supervised (AUC ~0.75 vs 0.55, respectively) reflecting the shallowness of the 0-3 classifier vs SSL’s holistic, self-taught AI. The thymic health score ranged from 0 to 100, with the highest number indexed to fully preserved thymic health. The algorithmic work extended to explainability with both Shapely value distribution, meaning the model was holistic not relying on any “magic” pixel, and occlusion sensitivity, demonstrating the model’s performance was not affected by ribs, sternum, lung tissue, but rather focused on the thymic bed directly. Below are a few saliency maps from the occlusion sensitivity that indicate the thymic bed focus, not affected by neighboring structures, using the jet color scale. Now the AI was ready for processing ~25,000 CT scans, each over 30 MB files, from the 2 large participant cohorts to provide a thymic health score, it did so in less than 14 hours, which is less than 2 seconds per scan! Share 2. How is thymus health linked to key clinical outcomes? The two cohorts were the National Lung Screening Trial, NLST (N=25,031) and the Framingham Heart Study, FHS (N=2,581) each with baseline demographics and long term follow up of >12 years for health outcomes. From the NSLT, you can see below that increased age and body-mass index were correlated to reduced thymic health. And, overall, men had reduced thymic health scores compared with women. There are a lot of graphs in the paper for outcomes, for both the NLST and FHS cohorts. To simplify the major outcomes, below is a composite Figure with striking reduction of all-cause mortality and for the different causes of death. The results were consistent between the 2 cohorts. For example, the cardiovascular mortality hazard ratio average was 0.57 in NLST and 0.38 in FHS (weighted to be 0.53 for the aggregate). The reduction of mortality also extended to digestive diseases and pulmonary disease (data not shown below). Lung cancer incidence was reduced by 36% for high vs low thymic health (Figure below, with a panel -incidence and b panel-mortality, adjusted for age, sex, BMI, smoking status). Notably, there was a smoker’s paradox: lower incidence and improved survival for lung cancer in smokers who had a high thymus health score. Smoking was associated with lower thymic scores whereas alcohol was not. Higher thymic health was linked to higher HDL cholesterol, lower triglycerides, lower fasting blood glucose, and lower systolic and diastolic blood pressure. Inflammation biomarkers, such as C-reactive protein and interleukin-6, were elevated in the people with lower thymic health scores. In their second paper, the same team looked at the relationship between thymic score and outcomes for 3,476 patients receiving cancer immunotherapy. The non-small cell lung cancer progression-free survival was reduced in patients with low thymic health score. A parallel relationship for survival was seen for other types of cancer including melanoma, breast, and kidney with a 44% lower risk among high thymic scores (Figure). A similar pattern was seen with different immune checkpoint inhibitors. The thymus health score outperformed programmed death ligand-1 (PD-L1)and tumor mutation burden (TMB) assay of the tumor and was an independent prognostic marker of progression-free survival. In this dataset, a direct connect with thymus score and adaptive immune function was noted with a correlation before cancer treatment for both T-cell diversity and thymus T-cell production (a metric known as T cell receptor excision circles). Thymus Removal Study There is a highly relevant citation about thymus function before moving onto ways to rejuvenate it. In 2023, a very important study of thymus removal during cardiothoracic surgery was published, with 1146 patients undergoing thymus removal vs 1146 matched controls (mean age 55 years). The adverse outcomes for thymus removal were striking, with a 2.9 higher risk of all-cause mortality and doubling of cancer incidence, 1.5 fold increase in cancer mortality, and 1.5-fold increase in autoimmune diseases. The immune function showed marked compromise after thymus removal, as reflected by CD4+ and CD8+ T cells (Figure below) Share Ground Truths 3. Are there ways we can promote a healthy (aka rejuvenate) thymus gland in our later years? In recent months we’ve learned a lot about the process of thymus involution and the pathways by which this may be modulated. Thymus involution is primarily due to loss to thymus epithelial cells (TECs) and there are 2 subtypes with different functions: the cortical, responsible for positive selection of T cells, and the medullary, for negative selection. When adipose tissue infiltrates the thymus, thymic adipocytes are pro-inflammatory, knocking out T-cell output. Likewise, systemic inflammation, or “inflammaging,” from smoking, obesity, and chronic stress promote thymic adipocytes. Now, from preclinical studies, we know about key pathways that account for these processes. Historically, back in 2014, FOXN1 was recognized as a single master transcription factor essential for TEC function, with studies in mice with forced FOXN1 upregulation leading to thymus regeneration. That laid the foundation for potential regrowth of quiescent thymus cells. It took awhile to find pathways to accomplish this goal and to even refute its role as the master regulator. The Liver-Thymus Axis Feng Zhang and his team recently showed that injection of an mRNA vaccine to the liver encoding DLL1, IL-7 and FLT3-L in combination, factors known to support thymopoiesis (Figure), successfully enhanced immune function in aged mice. However, the effect was transient. The FGF21 Story Two reports in 2025 addressed the thymus gland’s production of FGF21, a growth factor (fibroblast growth factor 21) and its control of thymus involution. This growth factor is also produced by the liver, but it doesn’t have impact on the thymus in aged rodent models. In contrast, The liver’s hepatocyte growth factor (HGF) has been shown to reverse senescent TEC structural changes. Growth hormone stimulates production of insulin growth factor-1 (IGF-1) in the liver and the thymus. Two small studies in human participants (TRIIM, for Thymus Regeneration, Immunorestoration, and Insulin Mitigation) of 6 and 50 people, respectively, treated with combined human growth hormone, metformin and DHEA, suggested the potential of slowing epigenetic aging and improving thymus mass and function. But the combination of drugs, small sample, and lack of controls make conclusions murky. Increased thymus FGF21 led to increased CD8 T cells in old mice and extended healthspan and improved physical performance. Building on the previous FOXN1 data, ablation of β-klotho, the obligatory co-receptor for FOXN1, accelerated thymic aging. The benefit to FGF21 was confirmed in a companion paper using an FGF21 knock-in mouse model showing thymus enlargement and increased TECs throughout the lifespan. (schematic Figure below). The accompanying editorial for these 2 papers speculated: “The proposed link between age-associated thymus involution and organismal aging is intriguing, and suggests we might seek to achieve systemic rejuvenation by counteracting thymic involution.” Other Factors Lessons from the Axolotl (Mexican Salamander) In an elegant set of experiments of the axolotl (Figure), known for its complete thymus regeneration after total surgical removal, mediators were identified. Surprisingly FOXN1 was dispensable. But midkine, a growth factor, appeared to be the driver, the initiator of thymus cell growth, survival, and repair. Other components that contributed were Postn+ (periostin-expressing mesenchymal niches) and Ccl19, a chemokine protein from the bloodstream. RANK and RANKL RANK (receptor activator of nuclear factor κB its ligand (RANKL) have been considered key regulators of medullary TECs. In a study of both aged mice and human thymus cell cultures, their key role was confirmed, with multiple benefits of resorting TEC function, recruitment of progenitor cells, and T cell development. Subscribe Summing Up This body of work strongly supports the health of the thymus gland as a critical regulator of human healthspan, not just a correlate or link. The new landmark studies are reinforced by the regenerative biology experimental models that have shown, via an array of mediators, that healthspan of aged mice is at least in part dependent on thymus gland function and its critical role for maintaining adaptive immunity. It sure seems that we’d be better off having an immune reservoir of naive T cells instead of a profile in older adults of exhausted, low quality, memory T cells, with a senescent phenotype. It is striking that we ignored the importance of the thymus gland for many decades. A wake-up call was the results of the thymectomy matched control study reviewed here, with the opposite of high thymic health score improved health outcomes. The convergence of AI and healthspan here is notable. The exceptional and laborious work for developing and validating (no less explaining) the AI to quantify thymus health set the foundation for probing the connect the major health outcomes in two cohorts with extensive follow-up. We’ve never had a way to meaningfully quantify the thymus gland before, so this represents important leverage of supervised, self-supervised, and transformer models. The study wouldn’t have been possible without AI. And it begs the question as to whether there are ways we can maintain our thymus at a high health score. But it’s not so simple to rejuvenate our thymus. There are multiple risks including the induction of autoimmunity, increasing the risk of cancer, and inducing a pro-inflammatory state. For example, factors that increase TEC proliferation could compromise the medulllary negative selection process and leak out auto-reactive (self-attacking) T cells. Thymic cells could be induced to proliferate, but we know, for example, that growth hormone and IGF-1 are associated with an increase risk of cancer. If thymus rejuvenation doesn’t clear out the accumulated senescent cells in older adults, then inflammation within the gland could block the production of TECs. Keeping these risks in mind, we now have identified many ways to keep our thymus healthy as we age that undoubtedly will be tested in clinical trials going forward. Ultimately, the benefit-to-risk tradeoffs will be defined. In the meantime, we have desperately needed an immunome. As I’ve stressed in multiple prior Ground Truths, we have no test in the clinic to assess a patient’s immune status! It was very encouraging for me to get an email from Hugo Aerts, the senior author of the landmark papers in the days after they were published: “I also wanted to say that your Substack on “Why We Need an Immunome” was inspiring for this work. We found it a very compelling perspective and greatly enjoyed reading it.” Just having an assessment of a person’s immune status via a chest CT scan, with millions of these performed per year, might help in guiding the right immunotherapy for cancer (e.g. more intensive, combinations for those with low thymic health scores) and help define people who are increased risk for age-related diseases of cancer, cardiovascular, and neurodegenerative. The main theme of Super Agers is that we now have many layers of data (genetics, proteins, biomarkers, organ clocks that can be integrated via multimodal AI) for us to define a person’s specific risk decades before one of these age-related diseases leads to symptoms, enabling prevention. From the new studies this week, we can add thymus health score as yet another way to understand a person’s risk, a window into their adaptive immune system and healthspan. And perhaps someday we will be able to safely rejuvenate the thymus, or maintain its health through one’s life, and use the thymus health score to monitor. NB: I wrote this post (No A.I.) A Quick Poll Loading... ********************************************************************* Thanks to Ground Truths subscribers (now > 200,000) from every US state and 212 countries. Your subscription to these free essays and podcasts makes my work in putting them together worthwhile. Please join! If you found this interesting PLEASE share it! Share Ground Truths Paid subscriptions are voluntary and all proceeds from them go to support Scripps Research. They do allow for posting comments and questions, which I do my best to respond to. Please don’t hesitate to post comments and give me feedback. Let me know topics that you would like to see covered. Leave a comment Many thanks to those who have contributed—they have greatly helped fund our summer internship programs for the past two years. It enabled us to accept and support 47 summer interns in 2025! We aim to accept even more of the several thousand who will apply for summer 2026.
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