43 Posts
An AI agent proposed new medical uses for established drugs nearly autonomously — uses that were supported by experiments on isolated human cells — with human input only to name diseases to be treated and run the AI-proposed lab experiments.
Google’s AlphaFold models pioneered the task of finding the shapes of biologically active molecules, opening new pathways for drug development.
Introduced in 2020, Google’s AI system for detecting breast cancer in mammograms still hasn't been used to diagnose current patients.
Generative AI has proven that it can produce text, images, audio, video, and code. The world’s most valuable pharmaceutical company is betting billions that it can produce drugs as well.
Meta pivoted from its open-weights strategy to deliver a closed alternative.
People whose vision is impaired increasingly use AI to assess their own appearance, raising questions about the psychological impact of AI models that are trained on conventional standards of beauty.
Difficulty sleeping often precedes heart disease, psychiatric disorders, and many other illnesses. Researchers used data gathered during sleep studies to detect such conditions.
AI models that diagnose illnesses typically generate diagnoses based on descriptions of symptoms. In practice, though, doctors must be able to explain their reasoning and plan next steps. Researchers built a system that accomplishes these tasks.
A high-profile acquisition could enable Facebook, Instagram, and WhatsApp to offer built-in agents that do users’ bidding.
OpenAI and Anthropic staked claims in the lucrative healthcare market, each company playing to its strengths by targeting different audiences.
An open protocol aims to enable AI agents to conduct scientific research autonomously across disciplinary and institutional boundaries.
Over the past few years, we have seen rapid progress in models that jointly reason over text, images, sequences, graphs, and time series. Yet in biomedical settings, these capabilities often remain fragmented, brittle, or difficult to interpret.
In 2026, I hope AI will transition from being a tool for efficiency to a catalyst for scientific discovery.
President Trump launched a United States effort to use AI to speed up scientific breakthroughs.
The world’s biggest pharmaceutical company by revenue shed light on its AI strategy.
Stay updated with weekly AI News and Insights delivered to your inbox