New paper: ToolUniverse introduces an open ecosystem for building AI scientists with 600+ scientific and biomedical tools. Build your AI co-scientists at https://aiscientist.tools.

Our new initiative: Use Tool Universe to build an AI scientist for yourself from any language or reasoning model, whether open or closed. https://aiscientist.tools

Collaboration with Ben and Girish on clinical phenotype resolution through deep geometric learning on electronic health records published in Nature Communications.

New paper in Nature Biomedical Engineering introducing PDGrapher, a model for phenotype-based target discovery. [Harvard Medicine News]

New perspective published in NEJM AI on advancing AI and network medicine on a path to precision medicine.

Update from CUREBench: 650+ entrants, 100+ teams and 500+ submissions. Thank you to the CUREBench community. Working on AI for drug discovery and reasoning in medicine? New teams welcome. Tasks, rules, and leaderboard: https://curebench.ai.

Excited to organize a NeurIPS workshop on Virtual Cells and Digital Instruments. Submit your papers.

Excited to organize a NeurIPS workshop on AI for Science. This is our 6th workshop in the AI for Science series. Submit your papers.

Launched CUREBench, the first competition in AI reasoning for therapeutics. Colocated with NeurIPS 2025. Start at https://curebench.ai.

Launched TxAgent evaluation portal, our global evaluation of AI for drug decision-making and therapeutic reasoning. Participate in TxAgent evaluations! [TxAgent project]

New preprint on SPATIA: a multimodal model for pediction and generation of spatial cell phenotypes.

New piece in Nature Medicine on AI-enabled drug discovery reaching a clinical milestone.

New preprint on biologically inspired architecture for knowledge tracing. The study on the use of generative AI in education with prospective evaluation of knowledge tracing in the classroom.

New paper in npj Digital Medicine: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases.

New preprint: One patient, many contexts: Scaling medical AI through contextual intelligence

ToolUniverse now offers access to over 211 cutting-edge biological and medical tools, all integrated with Model Context Protocol (MCP). Any “AI Scientist” agent can tap into these tools for biomedical research. [Tutorial] [ToolUniverse] [TxAgent]

In press at Nature Biomedical Engineering: PDGrapher AI predicts chemicals to reverse disease phenotypic effects — with applications to drug target identification.

New preprint: Decision transformers for generating reach-avoid policies in sequential decision making — with applications from robotics to cell reprogramming.

New preprint introducing COMPASS: A generalizable AI that predicts immunotherapy outcomes across cancers and treatments. [Project website] [Code]

Check out the Kempner Deeper Learning posts describing our latest ATOMICA and TxAgent AI models.