A multimodal AI agentic model that integrates electronic medical records, lifestyle, layers of biologic omics data to predict health outcomes and, with perturbations, "what if" scenarios a person improved lifestyle or took a medication @Cell_Metabolism https://
sciencedirect.com/science/articl
e/abs/pii/S1550413126001087?viaihub
…
@erictopol
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Multimodal AI Model Predicts Health Outcomes with Lifestyle Scenarios
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Single-Cell Survival Analysis Predicts Patient Cancer Outcomes
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Single-cell survival analysis from a tumor can help predict patient outcomes @CD_AACR https://
aacrjournals.org/cancerdiscover
y/article/doi/10.1158/2159-8290.CD-25-0965/782647/scSurvival-Single-Cell-Survival-Analysis-of
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Two New Approaches to Predict RNA 3D Structure
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Predicting RNA 3D structure is a grand challenge of biology. 2 new approaches published today to get at it https://
sciencedirect.com/science/articl
e/pii/S1097276526002054?viaihub
… @MolecularCell https://
nature.com/articles/s4225
6-026-01223-x
… @NatMachIntell -
Somatic Mutations in Microglia Drive Alzheimer’s Neuroinflammation
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Somatic mutations in microglia brain cells (the same mutations as seen in cancer) are enriched in and may drive the neuroinflammation of Alzheimer's disease @CellCellPress https://
cell.com/cell/fulltext/
S0092-8674(26)00341-7
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Biological Age: Meaning and Measurement Insights
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On the meaning and measurement of our biological age, @DrLaPook @CBSMornings
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Gut Microbiome Signature Predicts Parkinson’s Disease Risk
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We've known the gut-brain axis is a key underpinning of Parkinson's disease. Today, for the 1st time, a gut microbiome signature denoting risk found in healthy individuals with genetic predisposition @NatureMedicine https://
nature.com/articles/s4159
1-026-04318-5
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Why the AI race needs restraint
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Why the AI race needs restraint pic.twitter.com/KufDLva7qM
— Eric Topol (@EricTopol) 20 avril 2026Why the AI race needs restraint
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Demis Hassabis Predicted AGI by 2030 and Emphasized Agents
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In 2010, when @GoogleDeepMind was formed, well before deep learning was taking hold, @demishassabis predicted AGI by 2030 and called out the use of agents pic.twitter.com/vuaYJwiGP4
— Eric Topol (@EricTopol) 19 avril 2026In 2010, when @GoogleDeepMind was formed, well before deep learning was taking hold, @demishassabis predicted AGI by 2030 and called out the use of agents
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Book explores AI’s 15-year evolution and future trajectory
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If you're interested in how AI grew up over the past 15 years, and where it's headed, this new book tells the story in a riveting, page-turner way. In the new Ground Truths with @scmallaby
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Agentic AI Enhances Output Faithfulness Through Explainer Techniques
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Nice work using agentic AI to promote faithfulness of output. See Michael's explainer thread