Researchers are venturing into a new area of collaboration that relies on agentic AI, co-scientists that can act independently and help humans ideate, hypothesize, and speed up scientific exploration.

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YouTube video by AHAScience

More than 65 years ago, complex clinical diagnostic reasoning cases were introduced as the gold standard for the evaluation of expert medical computing systems, a standard that has held ever since. In...

Through patient interviews, Stanford researchers reveal the real experience of GLP-1 medications, including quieted cravings, side effects, stigma, and barriers to access.

A transformer-based vision system for cardiac MRI offers a generalizable and data-efficient system for diverse tasks in cardiology, offering clear advantages for contextualizing human cardiovascular d...

Previous randomized trials and real-world observational studies of electronic alerts for acute kidney injury (AKI) have yielded conflicting results. The applicability of trial findings to routine clin...

YouTube video by Stanford Medicine

Protein engineering is limited by the inefficient search through a high-dimensional sequence space to find combinations of synergistic mutations. Traditional approaches use stepwise mutation stacking,...

Spatial multi-modal data analysis using embeddings from diverse foundation models (spEMO) represents a transformative approach that unifies embeddings from pathology foundation models with those from ...