Joined November 2009
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27 May 2025
A new cover for SUPER AGERS after making the NYT bestseller list. Thanks to you for making it the #1 ranked new non-fiction book on Amazon. amazon.com/gp/new-releases/b…
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Eric Topol retweeted
KNICKS WIN!!! KNICKS WIN!!! KNICKS WIN!!! KNICKS WIN!!!
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What if we could predict cancer 5 years ahead and prevent it? A new landmark study shows the way
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An outgrowth of high-throughput proteomics and extraordinary work by 80 researchers across 4 continents erictopol.substack.com/p/a-n…

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what happens when you combine thousands of plasma proteins and AI?
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For medical information, general AI frontier models (Google, OpenAI, Anthropic) outperformed specialized @EvidenceOpen and @UpToDate as assessed by 12 US clinicians, randomized and blinded to which model and extensive testing/benchmarks. This was not anticipated. @NatureMedicine nature.com/articles/s41591-0…
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Here is the performance breakdown for each model's blinded assessment for 4 major tasks: (1) clinical correctness, (2) completeness, (3) safety, and (4) clarity.
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The overall ranking. Congratulations to @ekoermann @krithikvish and their team @nyulangone for getting this done. We need more of these rigorous assessments.
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A life-threatening inherited disease, hereditary angioedema, with striking benefit from one-shot CRISPR genome editing. Phase 3 randomized, double-blind trial results @NEJM today nejm.org/doi/full/10.1056/NE…
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Getting to the root of age-related diseases. By studying a rare accelerated aging genetic disorder, gain-of-function mutations of DNMT3A were found to be causal. DNA hyper-methylation was then linked to stem cells dysfunction and multiple age-related diseases (blood, bone, metabolic). Work in mice and humans. @NatureGenet nature.com/articles/s41588-0…
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Interleukin-17 (IL-17 and its receptor, IL7R) is emerging as a key mediator in many immune-related diseases. Today @SciImmunology a superb review science.org/doi/10.1126/scii…
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Eric Topol retweeted
There has been a push to use OpenEvidence AI for doctors. But this paper suggests general models are much better: “Frontier LLMs outperformed clinical AI tools in all three evaluations. Clinical AI tools performed comparably to auto-enabled Google Search AI Overview on the RCQ.”
For medical information, general AI frontier models (Google, OpenAI, Anthropic) outperformed specialized @EvidenceOpen and @UpToDate as assessed by 12 US clinicians, randomized and blinded to which model and extensive testing/benchmarks. This was not anticipated. @NatureMedicine nature.com/articles/s41591-0…
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Eric Topol retweeted
Medicine discovers the bitter lesson: frontier LLMs (here GPT 5.2, Opus 4.6, Gemini 3.1) outperform specialized "clinical AI" (e.g. OpenEvidence) in a blind test. Even funnier that hospital IT are more likely to approve the *specialized* versions despite them being worse.
For medical information, general AI frontier models (Google, OpenAI, Anthropic) outperformed specialized @EvidenceOpen and @UpToDate as assessed by 12 US clinicians, randomized and blinded to which model and extensive testing/benchmarks. This was not anticipated. @NatureMedicine nature.com/articles/s41591-0…
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Your digital twin brain ;-) journals.plos.org/digitalhea…
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We're learning a lot about cellular senescence, how to track it, and its role in aging and disease. Cover and commentary @CellCellPress cell.com/cell/fulltext/S0092…
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Circulating senescent proteins and their prognostic value and an atlas of these cells sciencedirect.com/science/ar… linkinghub.elsevier.com/retr…
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Workforce survival in healthcare "The coming decade demands that we stop asking whether AI can replace clinicians and start asking how it can help us keep them." thelancet.com/journals/lance…
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Not every day you see an odds ratio of 50 (for interleukin-10 autoantibodies and a common HLA allele). ~80% of patients with inflammatory bowel disease (IBD) have this HLA allele These individuals (~3.5% of IBD) may benefit from B cell depletion (such as achieved via CAR T). nejm.org/doi/full/10.1056/NE… nejm.org/doi/full/10.1056/NE…
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