Lab-in-the-loop framework enables rapid evolution of complex multi-mutant proteins

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

Rapidata emerges to shorten AI model development cycles from months to days with near real-time RLHF

Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively ...
University of California, San Francisco

AI Bots Accurately Analyze Big Data Set to Predict Preterm Birth

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Building AI-First Automations with Trigger.dev, Modal, and Supabase

Deploy AI-managed automations from local runs to production using Trigger.dev monitoring and error handling to reduce workflow failures.
News-Medical.Net

Rethinking the lab notebook as AI enters the workflow

Research shows that 77 percent of lab professionals now use public AI tools alongside their ELN. For many, this is not driven by policy decisions, but by necessity. Governed tools do not yet support ...
Oak Ridge National Laboratory

Engineers, plant biologists automate plant transformation for faster discovery

To meet the growing demand for faster scientific discovery that strengthens the bioeconomy, plant scientists worked with manufacturing systems engineers at the Department of Energy’s Oak Ridge ...