Machine-learning model could save costs, improve liver transplants, Stanford-led research shows

A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.
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 ...
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 ...
techtimes

Google Taps Former Snapchat Research Chief, Stanford University AI Lab Director To Head Machine Learning Unit Of Cloud Business

Google has hired two Artificial Intelligence researchers to lead the machine learning unit of its Google Cloud platform. Diane Greene who leads Google's Cloud platform announced the machine learning ...
FierceBiotech

Using genomics and machine learning to predict aneurysm risk

Abdominal aortic aneurysm (AAA), an irreversible disorder in which the body’s main artery gradually enlarges, affects more than 3 million Americans per year. If the artery bursts, it’s almost always ...