In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn ...

Staying active is one of the most important things you can do for your health. Regular exercise helps you live longer, lowers ...

ML-driven surveillance systems can flag early signals of disease outbreaks by detecting non-linear trends and hidden ...

Americans are wary of AI in health insurance, especially for claims. This article explores what people trust, what they don’t ...

Digital Health & Machine Learning has 37 repositories available. Follow their code on GitHub.

What if people could detect cancer and other diseases with the same speed and ease as a pregnancy test or blood glucose meter ...

ARIE is the IDEA Institute’s cutting-edge, equity-focused chatbot, developed to support learning, discovery, and academic ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

Mass. maternal health researchers want to expedite the detection of postpartum depression risk, starting in the delivery room ...

Eye Tracking – Using a web camera and proprietary health software, SUNY Canton Assistant Professor Mehdi Ghayoumi can analyze ...