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The impact of age-related diseases happen sooner than you think. Welcome to the Thalion Initiative...
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The Thalion Initiative (US)
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The Thalion Initiative (US)
@TTIScience
The Thalion Initiative is a global researcher driven initiative focused on the fundamental biology of aging. US Head Office. Visit @TheThalionInit in Canada
Boston, MA Присоединился Aralık 2024
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Fantastic work on AI for biology.
Understanding the fundamentals through specific AI usecases where data is available.
Patrick Hsu@pdhsu
Evo 2, our fully open-source biological foundation model trained on trillions of DNA tokens spanning the entire tree of life, is out in @Nature today We & the scientific community have done a lot with this @arcinstitute @nvidia model in the last year! 🧵👇
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Splendid work!
Now imagine how we could decipher evolution and its adaptations if we would have large-scale datasets across all building blocks of life for all species.
Not only genomes, but transcriptomes, metabolmes, lipidomes, methylomes, etc.
We could really understand why certain species do not develop diseases or have century long lifespans.
Brian Hie@BrianHie
Evo 2, our genome language model that generalizes: - across biological prediction and design tasks, - across all modalities of the central dogma, - across molecular to genome scale, and - across all domains of life, is published today in @Nature.
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@elonmusk Want to help? thalion.global/programs/compa…
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I hope someone makes this work!
Nikita Bier@nikitabier
I feel like this startup idea is fundable now.
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Can we use natures adaptations from other animals to extend healthy lifespan in humans?
I believe so!
But the missing ingredient is infrastructure at scale: a shared, standardized comparative biology dataset that de-risks discovery for everyone.
And this is exactly the kind of “public good” philanthropy can catalyze, and we are building at @TTIScience.
More in my article for @CFObyPostmedia in the comment.
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DAFs are becoming prominent vehicles to fund philanthropic endeavors.
Fidelity Charitable®@FidelityChrtbl
Fidelity Charitable donors set a new giving record once again, recommending $18.3 billion total grant dollars in 2025!
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Great that Google is getting into comparative biology!
They actually have the resources to accelerate this field a lot which is also crucial to understanding what controls maximum lifespan across the tree of life.
Hope they start looking beyond genes, as we do at @TTIScience
Google Research@GoogleResearch
Sequencing a human genome, which once took 13 years and $3B, can now be done in days with the help of AI. By using AI tools like DeepVariant and DeepConsensus, we’re now helping researchers sequence the genomes of endangered species with incredible speed and accuracy. From the Grevy’s zebra to the African penguin, see how AI is helping pull species back from the brink.
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Keep in mind Billionaires do have access to the best doctors, best medications, and best protocols.
More thorough medicine than what most Longevity Clinics trying to sell you.
And yet they don’t reach Longevity but drop dead at the similar rate like the common man.
Alexey Strygin@strygah
I tracked every billionaire who died in the last decade. 389 deaths. $2.17 trillion in wealth. 6 helicopter crashes. Here's what I found.
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The Thalion Initiative (US) ретвитнул
Turns out Shetland ponies can live up to 50 years, but the average is closer to 35.
Normal horses live closer to 25 years.
This shows again that the smaller species within a family live longer, similar observations in other mammals.
This is what we study at @TTIScience.
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Today is #GivingTuesday2025 - one of the largest gifting days of the year for Philanthropy as we get close to the end of year. Thanks to all who give and for all your support through Donor Advised Funds such as @nptrust, @FidelityChrtbl, @360Giving, and @Pershing
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Planning to make some grants or contributions to your DAF this month? We've got you.
NPT extends its hours at year-end; when you call with a question, you reach a real human who's ready to help.
Check out more year-end giving resources here: bit.ly/35s7kwh
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The featured profile of @TTIScience on Charitable wpcharitable.com/featured-chari…
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Philanthropy for Longevity.
@TTIScience is spotlighted in Charitable’s Giving Tuesday Livestream - alongside other amazing organizations!
Kicks off Dec 2 at 10am (EST). Tune in at givingtuesday.wpcharitable.com to donate, learn, and help spread compassion and advance science.
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The Thalion Initiative (US) ретвитнул
To help your favorite nonprofits meet their funding goals before year-end, follow these deadlines to ensure that grants from your DAF will undergo due diligence and reach their recipients before December 31.
Visit Giving Season Central to learn more: bit.ly/35s7kwh
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The Thalion Initiative (US) ретвитнул
I still remember in @Zuzalu_city 2023 there was this peculiar situation:
On the one side of the harbour was an AI conference, and the mood was AI is gonna destroy us all.
On the other side of the harbour I was running a life extension conference under the @vitadao umbrella and the mood was: we all gonna make it and live a very long time.
A little conundrum.
Interesting how the narrative has changed to we are all only gonna live a very long time because AI will accelerate biotech.
I’m not sure if I’d agree with that, but it seems that this is the vibe.
That being said the main obstacles for AI accelerating progress in aging biology are:
1.) We don’t have useful large scale datasets to train the AIs. At @TTIScience we are building new tools and large scale evolutionary and embryonic dataset to learn the secrets of rejuvenation from nature. But other datasets are also needed, especially human ones.
2.) A lot of obstacles are regulatory @JackScannell13 has been thinking about this quite in depth and @RuxandraTeslo recently wrote a good article on this. And it’s questionable how useful AI is there.
Currently on average we get ~50 FDA approved drugs a year.
If AI is really the panacea we should see double that amount per year in the next 5 years, and be well in the thousands in the next 10 years.
Will be easy to track.
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So many open problems out there that need to be tackled.
A few of them of them became the foundation for @TTIScience.
João Pedro de Magalhães@jpsenescence
I'm delighted to share our curated list of 100 open problems in ageing science. This represents a collective, systematic effort to map the key challenges and knowledge gaps across biogerontology. 1/3 link.springer.com/article/10.100…
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The Ellison Institute of Technology(@eit_cx) is going to spend 10 billion pound over the next decade on science - with a focus on biology and AI - hopefully making discoveries in aging biology.
Exciting to see different research models outside of universities taking shape.
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3. We need structured philanthropic efforts to gather and organize the data needed to train AI models. Currently, most research is done in a piecemeal, fragmented way, where scientists chase grants for narrow aspects of science without a cohesive vision. This is where organizations like @TTIScience are stepping in.
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People should indeed be really excited about this talk.
Probably one of the best I heard on why longevity matters!
Raiany Romanni-Klein@RaianyRomanni
So excited to share my @TEDx talk on human longevity soon! Proud to have helped curate this wonderful event alongside @johnkwerner at the @MITMuseum, @WHOOP, and The Quin House. Got to pick some of my favorite people in aging bio (@mkaeberlein, @AlexJColville, @MartinBJensen, @MaxUnfried) to share a diverse set of views on what I believe will be one of the most impactful breakthroughs in human history. Truly cannot wait to share more soon :)
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Given the recent discussion about aging (and our approach to it) in x.com/drmichaellevin…, it might be worthwhile to mention that my perspective is:
birth defects, failure to regenerate complex organs after damage, cancer, degenerative disease, and aging are all *the same problem* at root. It is all about how living matter implements a collective intelligence to maintain a specific anatomy over time (whether regenerating from: 1 egg cell, a.k.a. embryogenesis, from a damaged tissue, or from the small-scale wear and tear of adult life), and how we can facilitate that process of renewal. Regeneration, in the broadest sense, is the answer to all of these problems. It is not going to be possible to accelerate (or prevent, for those who want to) anti-aging research without feeding (or squelching) these other aspects of medicine and basic science.
If you're truly arguing against longevity research, it's not just the elderly billionaires that you're targeting, it's also the kids with cancer, the people born with damaged organs, victims of injury, those damaged by pathogens, etc. etc. It's all the same pool of suffering, with the same root cause.
onlinelibrary.wiley.com/doi/10.1002/bi…
Michael Levin@drmichaellevin
Final version is out: aging as the result of loss of goal-directedness advanced.onlinelibrary.wiley.com/doi/epdf/10.10… @BeneHartl @LPiolopez "Although substantial advancements are made in manipulating lifespan in model organisms, the fundamental mechanisms driving aging remain elusive. No comprehensive computational platform is capable of making predictions on aging in multicellular systems. Focus is placed on the processes that build and maintain complex target morphologies, and develop an insilico model of multiscale homeostatic morphogenesis using Neural Cellular Automata (NCAs) trained by neuroevolution. In the context of this model: 1) Aging emerges after developmental goals are completed, even without noise or programmed degeneration; 2) Cellular misdifferentiation, reduced competency, communication failures, and genetic damage all accelerate aging but are not its primary cause; 3) Aging correlates with increased active information storage and transfer entropy, while spatial entropy distinguishes two dynamics, structural loss and morphological noise accumulation; 4) Despite organ loss, spatial information persists in tissue, implementing a memory of lost structures, which can be reactivated for organ restoration through targeted regenerative information; and 5) rejuvenation is found to be most efficient when regenerative information includes differential patterns of affected cells and their neighboring tissue, highlighting strategies for rejuvenation. This model suggests a novel perspective on aging caused by loss of goal-directedness, with potentially significant implications for longevity research and regenerative medicine."
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