Help Defeat Aging 🎶
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@HelpDefeatAging
Help to defeat aging please. Project from @iMichaelTen Let's increase healthspans. Read Radical Life Extension! https://t.co/BTaawuqQwR
Ray Kurzweil predicts Longevity Escape Velocity for 2032. Peter Diamandis wore a T-shirt with the words "LEV -2033" at the recent Aboundance Summit with David Sinclair. Whether Longevity Escape Velocity occurs in 32, 33, or 34 is important; only one thing is certain. We are indeed heading in this direction.
The pace of innovation is no longer linear. It’s exponential. we are living at the steepest point in human history.
Vitalist Bay 2026. Summary. Over the four days of the conference, the main stage hosted 99 talks, discussions, and panels. Workshops and other activities were running in parallel throughout the event. What topics came up most often? In short: data, drug discovery, organs and transplantation, clinical trials, AI, funding, model systems, brain preservation, the immune system, and tissue or organ replacement. A more detailed breakdown is shown in the graph. What impressed me the most: 1. Kidney vitrification with long-term function after transplantation. Greg Fahy from 21st Century Medicine spoke about a vitrified rabbit kidney that continued functioning for over a year after thawing and transplantation. 2. Brain function after vitrification. Alexander German from Hibern Therapeutics / Friedrich-Alexander University Erlangen-Nürnberg presented near-physiological recovery of activity in mouse hippocampal slices after vitrification. This was not only about preserving structure, but also electrical activity, synaptic transmission, and plasticity. 3. AI for discovering new drugs using proprietary experimental data. Eli Berlin from Terray Therapeutics described a platform where millions of potential molecules can be tested in massively parallel experiments on microchips. They have already accumulated billions of precise measurements of protein–molecule interactions and use them in a closed loop: the model proposes, the lab tests, and the data flows back into the system. The most ambitious near-future goals presented at the conference: 1. Add 10 healthy years to human life. Joe Betts-LaCroix described the goal of Retro Biosciences as adding +10 healthy years to human life. Their strategy is either to replace old cells with young ones or rejuvenate old cells directly inside the body. 2. Learn to functionally replace neocortical tissue. Jean Hebert discussed an ARPA-H program aimed at restoring damaged brain tissue: grow new tissue, integrate it into the existing brain, and demonstrate that it can take over lost functions. 3. Build a city to accelerate longevity biotech. Laurence Ion from Viva City proposed a special jurisdiction where promising therapies could be tested faster, data could be collected more efficiently, and the path from idea to application could be dramatically shortened. Special thanks to @adamgries and @realNathanCheng for an outstanding event.
By year 2050, we will be free from aging🧑🦳👨🦳 and most of the diseases we know today, including cancer, dementia, Alzheimer's, and heart disease. We will become de facto immortal🧬🧬👨🚀 Around 2032, we will reach Longevity Escape Velocity. youtu.be/Fv-DZ3FVr30?is…
Most of human aging is thermodynamically irreversible. While it's a much disliked phrase. However, I think it's one of the most important and actionable statements in the field, because it means the goal is not rejuvenation. The goal is to stop the clock. And now let me tell you how. At @hacking_aging, we feed medical histories across tens of millions of people into physics-based machine learning models, which: • Use patients medical histories to predict how a person's health evolves over the full arc of their life • Pull aging out as a distinct process from specific disease trajectories This happens not because we told the models to, but because the signal is there in the data. Through this analysis, we identify genetic targets that control the rate of aging itself—not a particular disease predisposition or progression, but the underlying aging process closely related to configurational entropy of the aging organism. These genetic factors do not tell stories about treating particular diseases; they're about shifting the fundamental rate at which aging occurs. In 2021 we were the first estimate the maximum human lifespan from clinical data. What's gets measured - get optimized. Today, that estimate is approximately 120 years. This is how aging biology can be framed as a data problem, and the data analysis can reveal what no amount of experimentation alone cannot. Think of this post as a imminent new preprint announcement - please like, share and follow to know more, check and subscribe to my Substack using the link in the first comment.
SITUATION DETECTED: Demis Hassabis said at Google I/O that solving all disease is close, as Google unveiled Gemini for Science.
People who actually work on using AI to cure cancer and develop new drugs:
