tiffany lin

8 posts

tiffany lin

tiffany lin

@tiffanylin

94010 Katılım Mart 2008
680 Takip Edilen284 Takipçiler
tiffany lin
tiffany lin@tiffanylin·
@demishassabis Would it be able to address microdeletion affecting key protein-encoding gene?
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Demis Hassabis
Demis Hassabis@demishassabis·
The round is led by @ThriveCapital with participation from @GVteam and our existing investor Alphabet, and we could not be more excited to be partnering with these top-tier AI and life science investors to help realise our ambitious mission. This is what science at digital speed looks like! Read more: bit.ly/42cnRlg
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Demis Hassabis
Demis Hassabis@demishassabis·
Thrilled to announce @IsomorphicLabs has raised $600M to turbocharge our mission to one day solve all disease with the help of AI. I've long felt that improving human health is the most important thing we can do with AI & today marks a big step towards a new era of drug discovery.
Demis Hassabis tweet media
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tiffany lin
tiffany lin@tiffanylin·
@patrickc @arcinstitute Arc’s Virtual Cell Atlas & Tahoe-100M are extraordinary. Every day, I read headlines about science eradicating disease, yet no treatments exist for my daughter’s de novo 3p25.3 microdeletion, impacting SLC6A1 & HRH1. Could Arc’s single-cell tech offer new insights for cases like hers? Curious where efforts like this might have the most impact.
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Patrick Collison
Patrick Collison@patrickc·
The world's largest single-cell dataset.
Arc Institute@arcinstitute

Today, we're launching the Arc Virtual Cell Atlas, a growing resource for computation-ready single-cell measurements. As the initial contributions, @vevo_ai has open sourced Tahoe-100M, the world's largest single-cell dataset, mapping 60,000 drug-cell interactions, and we’re announcing scBaseCamp, the first RNA sequencing data repository curated using AI agents. Combined, the release includes data from over 300 million cells. arcinstitute.org/news/news/arc-…

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Patrick Hsu
Patrick Hsu@pdhsu·
What if we could universally recombine, insert, delete, or invert any two pieces of DNA? In back-to-back @Nature papers, we report the discovery of bridge RNAs and 3 atomic structures of the first natural RNA-guided recombinase - a new mechanism for programmable genome design
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tiffany lin
tiffany lin@tiffanylin·
@PatrickJBlum May I DM you? This is for my daughter who has a rare disease.
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Patrick Blumenthal
Patrick Blumenthal@PatrickJBlum·
I'm typically extremely private about my health, but I've been using GPT for the past year to better understand my own multiple rare diseases. If you think GPT can only help with common issues, you are wrong. One of my diagnosed diseases is 0.36 in a million, another is 10 in a million. Greg's post hits home. In a healthcare system fragmented by overspecialization, my own journey has been an endless parade of specialists, each blind to the whole picture. This is exponentially more true if your disease(s) involve every part of the body. Mine do. In comparison, LLMs are a tool with infinite patience and focus that will open your eyes to nuances in your condition that were previously overlooked — insights that, frankly, should've been obvious to those treating me. GPT has taken the entirety of my medical history and used it to identify connections between allergies and symptoms, it suggested tests for my doctors to order, recommended additional therapeutics, and raised specific theories around causes. In the end, almost every supplement and drug I currently take was suggested to me at some point by GPT, many of them nonobvious. It made the limited time I had with specialists a million times more productive and focused — using it to ask about specific studies, possible tests, and possible explanations for symptoms. When I had troubling new symptoms, GPT provided instantaneous results with the full context of my healthcare journey, so that I didn't have to wait weeks before my next visit. When I reached the limit of how much GPT alone could help me, GPT helped me become technical enough to build the tools I needed to continue my explorations. This isn't about GPT reinventing medicine, but about alleviating the glaring gaps in current care. The truth is that the existing medical system leaves a tremendous amount of low hanging fruit for treating patients. Despite their best efforts, doctors will constantly forget about a test you already had done, they'll ignore certain results based on their own biases, and they'll myopically view every symptom you have through the lens of their own specialty, or refer you to another specialist who you will have to wait 3-10 months to see. That specialist will make the same mistakes, and the endless parade continues. If you're fighting similar battles, feel free to DM me. I'm not offering medical advice, just my perspective on how I've navigated my own health journey. Whatever you do, don't be a victim of credentialism, wasting away while you wait for answers. Use everything you can, including AI. It will—at the very least—transform you form being an observer of your own journey to an informed participant. And it will cost you $20 per month instead of $2000.
Greg Brockman@gdb

A reason we need beneficial AGI: After five years of pain across many systems in her body (a broken foot from stepping off a curb, debilitating migraines, fatigue, joint pain and instability, etc), my wife was recently diagnosed with a genetic disorder called Hypermobile Ehlers-Danlos Syndrome (hEDS). Because the medical system is designed for individual specialties while hEDS affects every system in her body (orthopedics, cardiology, neurology, gastroenterology, dermatology, etc), we spent five years seeing more doctors and specialists than in her whole life prior. Most doctors would only focus on what was relevant to their own specialty. We were lucky that her allergist (!!) put together the pieces after observing and hearing her full set of symptoms and issues. As human medicine has progressed, it seems like we increase doctors’ depth at the expense of breadth. We need better tools to be able to deliver depth and breadth simultaneously to patients. This is one promise of AGI if built right — reliable, individualized, affordable healthcare in your pocket, like a panel of today’s top doctors across every speciality working together in concert to keep you healthy (and without you needing to fax forms between them). There’s still a long way to go on the technology and on learning how to deploy it beneficially along with appropriate professional human oversight in high-stakes areas like medicine, but the promise is getting increasingly clear. Thoughtfully approached by technology developers, healthcare providers, governments, and society, there’s hope for much better care for every member of all of our families (including our non-human furry ones).

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