Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...

New machine learning models developed by University of South Australia (UniSA) researchers could help clinicians identify when patients can successfully stop long-term antidepressant use.

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Every three months, participants in the Metaculus forecasting cup try to predict the future for a prize pot of about $5,000.

Machine learning model accurately diagnoses interstitial pneumonia, matching pulmonologist expertise and predicting mortality ...

M, a transformer-based AI trained on UK Biobank and Danish health data to predict and simulate lifetime trajectories for ...

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...

When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...