It’s been a pleasure collaborating with Shrey Jain & colleagues at Microsoft’s Health Care & Life Sciences and Microsoft Research on directions ahead for leveraging AI advances to help with cancer care. Stanford Health Care ARPA-H

Excited for MedHELM to be out! This is an open-source clinician-validated framework built to evaluate medical AI on real-world tasks, offering a more meaningful alternative to traditional exam benchmarks and helping the community build safer, more reliable models for medical

We have only seen glimpses of the impact Richard Sutton and Andrew Barto’s work on reinforcement learning will have on humanity. Huge congratulations to both of them being awarded the Association for Computing Machinery Turing Award last night!

Harnessing AI to help with difficult cancer decision problems: A pleasure to join Shrey Jain for a fireside conversation on pathways forward for translating AI advances into tangible tools for enhancing clinical care Microsoft Research Matthew Lungren MD MPH Microsoft Stanford Health Care

Humans are constantly operating under uncertainty, and one way in which we increase confidence in our decision making is by asking questions! When should a model ask a question if it’s uncertain? This is critical to understand in healthcare where the value of more information

Biomarkers can be the difference between life and death, but only ~half of U.S. lung cancer patients are tested for biomarkers for which effective targeted drugs are readily available. This new @nature Medicine paper from Eli Lilly and Company shows how fine-tuning GigaPath (from