newsletter

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: smart microscopy closes the loop between seeing and deciding, an AI autonomously ran tens of thousands of biology experiments in a cloud lab, and the rules are racing to keep up.

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: a benchmark shows AI ‘scientists’ still struggle to even find the right papers, agents arrive in ImageJ with reproducibility built in, and the Human Cell Atlas convenes as the retina gets mapped.

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.

Today in AI for life science: Anthropic bets on agent infrastructure over bigger models, the virtual cell meets honest benchmarks, self-driving labs go mainstream, and spatial omics gets its foundation models — plus a new chapter from the lab.

Today in AI for life science: an AI agent that drives ImageJ, the case for ’thinking microscopes’ that run their own experiments, and a foundation model that imagines how cells morph under perturbation.

Today in AI for life science: agent-readable bioimage AI, a Model Zoo glow-up, the 2026 DDLS postdoc decisions, and foundation models that read cells.