Assessment of 21 LLMs for generating a differential diagnosis
"Off-the-shelf LLMs have not yet achieved the intelligence required for safe deployment and
remain limited in demonstrating advanced clinical reasoning." https://
jamanetwork.com/journals/jaman
etworkopen/fullarticle/2847679?utm_campaign=articlePDF&utm_medium=articlePDFlink&utm_source=articlePDF&utm_content=jamanetworkopen.2026.4003
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@erictopol
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LLMs Assessment for Clinical Diagnosis: Safety and Reasoning Limitations
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Genetic editing breakthrough transforms rare disease treatment paradigm
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The turning point for rare diseases, which affect >300 million people around the world.
A call to get rid of its many structural obstacles, to consider it as molecular surgery unlike drug treatments
gift link: https://
nytimes.com/2026/04/09/opi
nion/genetic-editing-diseases-health-care.html?unlocked_article_code=1.aVA._Ngc.rcD9QiLWrfIM&smid=url-share
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AI Needed for Parkinson’s Disease Treatment Breakthrough
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It's World Parkinson's Day and we still have no disease-modifying drug or prevention for this condition, the 2nd most common and fastest growing neurodegenerative disease. That needs to change! https://
nature.com/articles/s4158
2-024-01034-x
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Spatial Medicine Saves Lives: AI Healthcare Innovation
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We've already seen spatial medicine save lives https://
erictopol.substack.com/p/the-dawn-of-
spatial-medicine
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Spatial Biology and AI Advancing Personalized Cancer Immunotherapy
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Towards Spatial Medicine for individualized cancer immunotherapy @SciImmunology "The convergence of spatial biology platforms, single-cell immune profiling, and machine learning is positioning the community to decode how T cell immunity is spatially organized in human tissues
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AI’s Best Use Case: Improving Human Health
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"The best use case of AI is to improve human health"—
@demishassabis -
AI reveals sex-based immune cell aging differences across populations
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The way our immune cells age differs substantially by sex, from single-cell analysis of ~1,000 people. Implications for propensity for autoimmune diseases (women), vulnerability to cancer (men), immunosenescence and inflammaging @NatureAging
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AI Detects High-Risk Cancer Cell Clusters for Metastasis Prevention
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These cell clusters are up to 50X more potential to spread cancer compared with single circulating tumor cells. A very useful target for preventing metastasis, which is the predominant way cancer kills.
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AI Detects Heart Failure Risk 5 Years Before Symptoms
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AI to detect risk of heart failure 5 years ahead of symptoms via CT scan epicardial fat tissue https://
jacc.org/doi/10.1016/j.
jacc.2026.02.5116
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AI imaging economics: nominal pricing drives healthcare adoption
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The imaging centers pay $1 to the AI companies for each patient. Their profit margin is enormous and thus nominal charge will foster implementation at scale. Today it’s close to zero