foundation-models

Today in AI for life science: a temporal AI model predicts how cells age and finds validated aging drivers, chemical reprogramming reverses senescence without the cancer risk, and aging emerges as the ultimate dynamic virtual-cell problem.

Today in AI for life science: a general-purpose ‘AI biologist’ matches human researchers across 25 subfields, cell models generalize across species, and the newest frontier model ships bio-tuned — and on a government leash.

Today in AI for life science: a cell-language model proposes a cancer lead that holds up in the wet lab, agents turn plain-language requests into reproducible image analysis, and microscopes start deciding what to image themselves.

Today in AI for life science: the AlphaFold Database opens millions of protein-complex predictions toward a human interactome, interpretable foundation models start mapping the cell’s regulatory wiring, and honest tests ask whether the diagrams are real.

Today in AI for life science: AI drug discovery hits its reckoning year — billions committed, zero approvals — tougher economics reshape the field, and the human cell reference map matures underneath it all.

Today in AI for life science: the big models get plumbed into real scientific data via connectors, AI moves into RNA drug design, and machine learning starts designing the CRISPR edit itself.

Today in AI for life science: genome foundation models learn to read and write DNA, an AI infers a spatial protein map from an ordinary pathology slide, and machine learning moves into 3D organoids — three layers of the virtual cell.

Today in AI for life science: RNA structure and design catch up to proteins, digital-pathology foundation models mature at the clinical edge, and a new paper from the lab paints the first proteome-wide image of human cells.

Today in AI for life science: protein design matures into a real engineering discipline, a genome-scale foundation model (Evo 2) meets a sobering benchmark, and AI-designed proteins raise a biosecurity question worth taking seriously.

Today in AI for life science: an AI system that autonomously discovers and validates a drug candidate, frontier labs buying into biology, a clear-eyed benchmark of cell-segmentation foundation models, and the case for composable multimodal models.