Machine learning can predict patients' responses to antidepressants while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Becker's Hospital Review

Google, Stanford University propose machine learning to aid drug discovery

A paper authored by experts from Google and Stanford (Calif.) University proposed using machine learning techniques to aid in the lengthy process of drug discovery. The paper, called “Massively ...
EurekAlert!

Stanford researcher develops machine learning models to decode brain aging at cellular level

STANFORD, California, USA, 24 June 2025 – In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain ...
Fierce Healthcare

Stanford Health Care teams up with Atropos Health to embed real-world evidence into physician workflows

Stanford Health Care is stepping up its partnership with startup Atropos Health to integrate real-world evidence into physicians' workflow and clinical notes. The pilot project builds on the two ...
MobiHealthNews

Hybrid specialist-AI system outperforms machine learning diagnostic in Stanford study

A hybrid system combining artificial intelligence with live human specialists was able to more effective diagnose pneumonia from chest X-rays than a previously validated automatic diagnostic algorithm ...

Top Grad Programs for Careers in AI

Top AI graduate programs at schools like Carnegie Mellon and Stanford are feeding a field where salaries average over $150,000—with job growth outpacing the broader market.