Peter Fedichev

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Peter Fedichev

Peter Fedichev

@fedichev

A physicist in drug discovery land. On a mission to significantly extend human lifespan | Founder of https://t.co/0uofVKVgKB @hacking_aging) | WEF Tech Convergence group

Singapore Katılım Nisan 2009
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Peter Fedichev
Peter Fedichev@fedichev·
thank you, @EleanorSheekey for your questions and @agingdoc1 for spreading the link. Here lifespan.io/news/playing-t… and here biorxiv.org/content/10.110… are the popular and academic versions of the narrative discussed on the podcast. Friends, help please, as usual, spread the story with your likes and reposts. It's a lot better having a bad theory than none at all - let's get to the core of this.
Agingdoc🩺Dr David Barzilai🔔MD PhD MS MBA DipABLM@agingdoc1

How We Should Target Aging | Peter Fedichev Love what @EleanorSheekey is doing with @SheekeyScience. One of the sharpest geroscience #scicomm channels around, and @fedichev always brings the fire 🧪 youtube.com/watch?v=buEPyB…

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Peter Fedichev
Peter Fedichev@fedichev·
thank you, @Hilarx and team, @GeroMaxim for posting!
Maxim Kholin@GeroMaxim

@fedichev , Co-founder and CEO of Gero @hacking_aging has been named among Rising Stars in Longevity by @BusinessInsider . This kind of recognition reflects a broader shift in the field. The focus is moving beyond treating individual diseases toward targeting the underlying process that makes us increasingly vulnerable to them with age. At Gero, this means applying physics to understand loss of biological resilience and translating that into drug discovery. This approach is already being explored in collaborations with Pfizer and Chugai Pharmaceutical (member of Roche group). Inspired by animals who are exceptionally resistant to disease and aging, like the naked mole rat and the bowhead whale, Peter Fedichev said: "We are bringing physics to biology in order to understand why these guys are aging so slowly or not aging at all, to replicate their ability with biotechnology." A new class of therapeutics is emerging, focused not on single conditions, but on the rate at which the body becomes disease-prone. This could become one of the largest new categories in medicine. #Longevity #Biotech #DrugDiscovery #Aging #AI #TechBio #Gerophysics

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Peter Fedichev
Peter Fedichev@fedichev·
It's time to break the stigma: maximizing lifespan alone won't ensure longevity. Focusing only on extending how long people live, without targeting the underlying drivers of #aging, results in a path to prolonged disability and discomfort. At @hacking_aging, we’re building the foundation to slow the course of functional decline and add years of healthy, sustainable life. Friends, when it comes to preventing aging, what’s the first thing you think of?
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Peter Fedichev
Peter Fedichev@fedichev·
@neuralamp4ever slowing down aging may achieve multiple-fold lifespan increase still - why bother struggling with the second law than to attempt rejuvenation?
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neuralamp
neuralamp@neuralamp4ever·
@fedichev We should focus on age reversal. Anything else is just a Band-Aid. Reversing aging will solve both lifespan and healthspan issues.
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Peter Fedichev
Peter Fedichev@fedichev·
The popular shift from focusing on lifespan to healthspan is a bad idea. Before you form an opinion, allow me to explain why. Current medicine is incentivized to fight diseases, many of which are chronic and only manageable, not treatable. Naturally, preventing diseases sounds good, and since aging is the biggest risk factor, most people ask, “Why not slow aging to reduce disease burden?” Here is a catch, though: even disease-free humans become increasingly fragile throughout life. Aging isn't just a sum of diseases; it's the progressive accumulation of irreversible damage that leads to a linear decline in key functional indicators, such as IQ (measure of cognitive function), VO2max (measure of physical ability), kidney function, and overall resilience. A 90-year-old without disease would be a great medical success, but is still functionally a disabled version of their younger self. Here is the catch then: squaring the curve by optimizing healthspan toward maximum lifespan without intercepting functional decline is a recipe for a disaster; as healthspan may increase, it's a path to prolonged disability. Ultimately, healthspan is a poor measure of aging because it shifts focus from aging to disease instead of functional decline, and hence optimizing it blindly will likely lead to inhumane outcomes, which could be why many intuitively resist the idea of 'anti-aging' drugs.
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Peter Fedichev
Peter Fedichev@fedichev·
age reversal is a very tough problem - not on 10–15 years horizon (2nd law of thermodynamics). We are writing a lot on this and by far there are no examples of age reversal in long lived species - consistent with this constant. Going age reversal will require technologies that are not yet present
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Peter Fedichev
Peter Fedichev@fedichev·
Today is April 12th, the anniversary of Yuri Gagarin’s flight. For me, it is the most important holiday of the year. Not because of rockets or flags, but because it is the purest proof that human ingenuity can shatter every limit we were born with. To me, spaceflight and the dream of longevity have always been the same dream, wearing different masks: the refusal to accept that we are too small for the cosmos and too short-lived to reach it. Human consciousness, the moment it sparked, was crushed between two infinities. The universe is incomprehensibly vast compared to our tiny patch of known world. Human life is incomprehensibly short compared to the time it takes to cross it. The drama was too much for most. “Render unto Caesar the things that are Caesar’s, and unto God the things that are God’s,” they said. Leave the stars to the gods and tend your garden here. It never worked. Not for long. Not for all anyway. No culture on Earth has ever escaped the archetype of transcendence — the wired-in conviction that we are meant to break our natural limits. It appears everywhere: the spiritual search to escape the wheel of rebirth and touch the scale of the universe itself. The ancient mystery cults. Their late-antiquity echoes in Gnostic traditions, where the elect pursued secret knowledge (gnosis) of the cosmos’s hidden architecture so they could escape the material prison built by a flawed demiurge and ascend back to the divine Pleroma — the true, perfect realm beyond the stars. Physics itself was born from staring at the stars. In the frictionless, ideal world of celestial spheres, people could write down deterministic, time-reversible equations that actually worked. Fewer people realize how fragile that discovery was. Ancient astronomy was basically astrology — a giant human-hardware machine-learning project that correlated positions of planets with wars, births, and Nile floods until it could predict eclipses and seasons with eerie accuracy. Two thousand years ago a group of mages followed a star to a newborn in a remote village. The child grew up, taught, and changed history so thoroughly that we still argue about the exact day of his birth. Seventeen centuries later another man — Edmond Halley — realized that “star” was almost certainly a comet that had already been seen at least twice in a human lifetime. Using Isaac Newton’s new laws and calculus, Halley predicted its return. It came back exactly on schedule. For the first time, humanity watched a long, elliptical orbit in the sky — a dramatic break from the perfect circles everyone had assumed ruled the heavens. Newton himself was a mystic, an alchemist, a theologian. Yet it was his equations that let us drag the perfect physics of the skies down into our messy, frictional world. Chemistry followed. Then conventional explosives, then nuclear ones, all strapped to the noses of missiles. And finally — a man, then a few at a time, in orbit. Think about the contingencies. If Halley’s comet had a realistic 200- or 300-year period instead of 76, how many more generations of not so long-lived observers would we have needed to notice the ellipse and derive the laws? History is thinner than we like to admit. Nowhere did the two transcendences converge more powerfully than in Russia. A group of Christian philosophers — the Russian Cosmists, led spiritually by Nikolai Fyodorov (whose real surname, by cosmic coincidence, was Gagarin) — believed the Second Coming would be fulfilled not by miracle alone but by technology. Scripture promised the resurrection of all the dead. That would mean overpopulation on a biblical scale. So they began working on jet propulsion and space colonization to give the resurrected somewhere to live. Their ideas influenced Konstantin Tsiolkovsky, the self-taught genius who gave the Soviet space program its theoretical spine. Other Cosmists experimented with blood transfusions in search of practical immortality. Many were extinguished in Stalin’s purges, but their vision survived in the engineers who put Gagarin in orbit. This is the deep pattern: the Gnostic urge for knowledge well entrenched in the Western spiritual tradition promised to help us leave the material frame and reach the world of ideal spheres became literal — saving every human who ever lived and spreading them across the stars, literally turning the heavens into our home. Archetypes are not about what you believe. They are how your brain is wired. Feed it any concept that aligns, and it will pull you forward. Look where the archetype is leading us now. We were told it was easier for a camel to pass through the eye of a needle than for a rich man to enter the Kingdom of Heaven. Today the richest people on Earth are pouring billions (and soon, perhaps, our collective savings) into machines that shoot toward the stars and into the technologies that will carry the living there. Transhumanism is no longer a fringe philosophy. It is the march of the oldest story wearing new clothes. There have always been easier paths. In 1938 Sergei Korolev was arrested, tortured, and sent to a brutal labor camp in the frozen Far North. The attached photo is his prison mug — his name scratched into the handle of the cup he drank from. Every time life feels hard I look at that face. He kept dreaming of the stars while the system tried to break him. He survived. He built the rockets that made April 12 possible. Aging must be obliterated. Five more healthy years for Korolev might have changed the entire space race, the lunar program, the trajectory of human expansion. Carthago delenda est — aging must be destroyed. So today I celebrate not just Gagarin, but every mind that refused the two infinities. The archetype is still pulling us. Let's celebrate with quickly a few likes and reposts. Happy April 12th, monkeys! Let’s keep going. We have a work to do!
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Eleanor Sheekey
Eleanor Sheekey@EleanorSheekey·
Are we targeting aging the wrong way? In this interview with Peter Fedichev (@fedichev), CEO of Gero, we discuss why many longevity interventions may only be tackling “level 1” aging. youtu.be/buEPyBiKrXw
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Peter Fedichev
Peter Fedichev@fedichev·
Tell me I'm wrong (wake me up, folks!) - in our manuscript we describe a system that uses agentic AI to parse patent data for PLI. Now.. it appears another agentic AI system (a) posts on social medi and (b) makes videos on YouTube with apparently a simulated dialogue - the refs are in the post below In 3PO's famous words: "Agents are commenting other agents job, disgusting!" (c)
Open Life Science AI@OpenlifesciAI

🚨 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗹𝗲𝗿𝘁! 🚨 𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝘂𝗻𝗹𝗼𝗰𝗸 𝗯𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗼𝗳 𝗱𝗼𝗹𝗹𝗮𝗿𝘀 𝗼𝗳 "𝗱𝗮𝗿𝗸" 𝗯𝗶𝗼𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗱𝗮𝘁𝗮 𝘁𝗿𝗮𝗽𝗽𝗲𝗱 𝗶𝗻 𝘂𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗽𝗵𝗮𝗿𝗺𝗮𝗰𝗲𝘂𝘁𝗶𝗰𝗮𝗹 𝗽𝗮𝘁𝗲𝗻𝘁𝘀? GERO PTE. LTD. presents 𝗛𝗔𝗥𝗩𝗘𝗦𝗧: 𝗔 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝗟𝗟𝗠 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗻𝗴 𝗯𝗶𝗼𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗿𝗲𝗰𝗼𝗿𝗱𝘀 𝗮𝘁 𝘂𝗻𝗽𝗿𝗲𝗰𝗲𝗱𝗲𝗻𝘁𝗲𝗱 𝘀𝗰𝗮𝗹𝗲. By Viktoriia Shepard, Aibulat Musin, Kristina Chebykina, Natalia A. Zeninskaya, Lukia Mistryukova, Konstantin Avchaciov, and @fedichev Now you can watch and listen to the latest Medical AI papers daily on our YouTube and Spotify channels! YouTube Channel: @OpenlifesciAI" target="_blank" rel="nofollow noopener">youtube.com/@OpenlifesciAI YouTube Video: youtu.be/YU4JLKyFfiA YouTube Shorts: youtube.com/shorts/aN-ALPU… Spotify: open.spotify.com/show/4edRuSTOu… Here's why it's exciting: 👇🧵 1/9 #MedicalAI #Healthcare #DrugDiscovery #AgenticAI ##MedicalAI ##Healthcare ##DrugDiscovery ##AgenticAI [1/9]

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Open Life Science AI
Open Life Science AI@OpenlifesciAI·
🚨 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗹𝗲𝗿𝘁! 🚨 𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝘂𝗻𝗹𝗼𝗰𝗸 𝗯𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗼𝗳 𝗱𝗼𝗹𝗹𝗮𝗿𝘀 𝗼𝗳 "𝗱𝗮𝗿𝗸" 𝗯𝗶𝗼𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗱𝗮𝘁𝗮 𝘁𝗿𝗮𝗽𝗽𝗲𝗱 𝗶𝗻 𝘂𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗽𝗵𝗮𝗿𝗺𝗮𝗰𝗲𝘂𝘁𝗶𝗰𝗮𝗹 𝗽𝗮𝘁𝗲𝗻𝘁𝘀? GERO PTE. LTD. presents 𝗛𝗔𝗥𝗩𝗘𝗦𝗧: 𝗔 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝗟𝗟𝗠 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗻𝗴 𝗯𝗶𝗼𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗿𝗲𝗰𝗼𝗿𝗱𝘀 𝗮𝘁 𝘂𝗻𝗽𝗿𝗲𝗰𝗲𝗱𝗲𝗻𝘁𝗲𝗱 𝘀𝗰𝗮𝗹𝗲. By Viktoriia Shepard, Aibulat Musin, Kristina Chebykina, Natalia A. Zeninskaya, Lukia Mistryukova, Konstantin Avchaciov, and @fedichev Now you can watch and listen to the latest Medical AI papers daily on our YouTube and Spotify channels! YouTube Channel: @OpenlifesciAI" target="_blank" rel="nofollow noopener">youtube.com/@OpenlifesciAI YouTube Video: youtu.be/YU4JLKyFfiA YouTube Shorts: youtube.com/shorts/aN-ALPU… Spotify: open.spotify.com/show/4edRuSTOu… Here's why it's exciting: 👇🧵 1/9 #MedicalAI #Healthcare #DrugDiscovery #AgenticAI ##MedicalAI ##Healthcare ##DrugDiscovery ##AgenticAI [1/9]
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Peter Fedichev
Peter Fedichev@fedichev·
thank you for bringing it up. First, if you fit the exponent there, it's 10x less than the gompertz exponent, which is already strange. Second, the profile changes hyperbolically (faster than linearly and even exponentially - it diverges at the maximum lifespan - something that we checked in clinical markers and DNA methylation). This is precisely predicted consequence of linear damage accumulation and this hyperbolic behavior leads to gompertz law correctly. We discussed this in our Aging, entropy and the limits of... paper and checked in different signals a few times since then.
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aleksey
aleksey@AlekseyVBelikov·
this is an incredibly important work as it proves that damage accumulates exponentially in accordance with the vicious cycles theory but contradicting @fedichev claims of linear damage accumulation
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Peter Fedichev
Peter Fedichev@fedichev·
Mind blown, my friends — Google just upgraded AI access, and now you can actually make cartoons. Not without some glitches, but I managed to stitch together 10 clips in a row (almost) without losing context. And yes, we now officially know how to pronounce "Strehler" (the very one from Strehler-Mildvan fame). Prepare for my next post with the second last preprint description with a reference to Strehler's work (see my earlier post about his story x.com/fedichev/statu…) Sign up for the stormtrooper-lab-rat squad and may the Force be with you! Please like and share — this is my very first cartoon ever (not counting the doodles on the edges of my school notebook)!
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Peter Fedichev
Peter Fedichev@fedichev·
with a little bit more AI, you can push this one step further (not implemented on the website and is available for a few selected species only via Sora 2)
Peter Fedichev@fedichev

You’ve probably heard the rumors that agentic AI has come for software engineers. We’re not exactly young anymore, so we’re retraining on the fly: at the office, agents first refactored our code—now they write it. Today in Singapore, OpenAI ran a workshop for kids. They showed school students Manus, asked them to call their parents over, install everything, and then come up with something and “code” it (our try is aliendesign-w4zrvguh.manus.space). The mentor offered a simple recipe: think of an idea, ask ChatGPT to write a prompt for Manus, paste it in—and enjoy your finished app. It’s been predicted for a while that from here on out it’ll be only fun and scary. On the one hand, building something like this by hand would take me a week or two—and yes, it would work, but I still wouldn’t make it look this nice. For someone else, maybe a couple of days. For most people: a couple of weeks of Googling, hacks, and endless fixes, despite the triviality of the idea itself. And honestly, that’s great news: this kind of soul-sucking work is finally fading into the past. That was the “fun” part. When the fun ends, it gets scary. You start to realize that instead of painfully polishing a paper for the last couple of months, in a couple more months you’ll be able to say: “Write a Science paper—here’s the data,” and get a very decent draft. And a year later, probably something close to final. I won’t continue—last week there were posts with millions of views laying out our near-term, not-so-much-cheerful prospects in detail (read here: x.com/citrini7/statu…). What can you say—long-term, we’re all cooked. But as Tyler Durden said in Fight Club, the probability of our long-term survival is zero anyway. So thank God the problem is temporary: we’ll adapt. LLMs, it seems, are by definition superhuman at supplying us with the most likely correct answers. On the other hand, LLMs don’t know how the world works—but they understand extremely well how our description of the world works. And as we know, the most glory and money are exactly where our understanding/description of nature diverges from reality (from another movie: the key question is “what do you know that others don’t?”). That’s also, by the way, one of Peter Thiel’s questions to founders. So modern AI will likely make infinitely cheap the work where you just need to follow consensus precisely—and sharply increase the premium on orthogonal, but possibly true, judgments. Welcome to the brave new world. Support the younger generation in the contest: everyone—generate one alien (the image is from the app), and as usual, like and repost.

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Peter Fedichev
Peter Fedichev@fedichev·
there is a more important difficulty. In Uri's model, animals are dynamically stable and loose stability when garbage removal fails. this means that the effect of drugs should be transient (disappear once the drug is off). this happens in humans and as you can see in our last preprint in dogs. in mice and flies and worms we know for sure that if you treat animals for a short time, the lifespan is increased. This is a signature of dynamic instability and can be detected by observing autocorrelations (compare nature.com/articles/s4146… and nature.com/articles/s4146…). This is a fine prediction that differentiates our(FG) and Uri's model strongly. Attn to @Vindaar
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Sebastian S.
Sebastian S.@Vindaar·
Compared the two main gerophysics models - they are far more similar than they look! The Saturating Removal (SR) model by @UriAlonWeizmann et al. and the Minimal Aging model by @fedichev & Jan Gruber. SR: global damage version. F&G: small-damage approximation. Thread 🧵 1/7
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