AI

Today in AI for life science: CZI’s rBio learns to reason about cells with a virtual cell as its verifier, self-driving labs cross into industrial infrastructure, and a sharp reality check on what virtual-cell models still can’t do.

A computational postdoc in the AICell Lab developing AI models that represent, predict and simulate the human cell — part of SciLifeLab’s AlphaCell program. Deadline 3 August 2026.

Today in AI for life science: agent benchmarks converge on a lesson we felt firsthand — the system around the model matters as much as the model — virtual-cell ‘world models’ arrive with a push for reproducibility standards, and the lab runs its first live agent-driven experiment.

A self-driving cell-biology lab where AI agents plan, run and adapt live-cell experiments across a cluster of instruments.

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.