Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

A new AI model called COMPASS uses tumor gene expression data to predict which patients will respond to cancer immunotherapy ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Adverse neighborhood conditions in early adulthood may raise the risk of early cardiovascular disease decades later.

The human brain is known to naturally change with age, shrinking in size and volume after people reach their 30s or 40s. In ...

While public conversations may often focus on chatbots and workplace automation, To sees specialized AI systems trained on ...

Finland has hunkered down on its strengths in health, quantum and maths to nurture an industrial recovery that has been ...

It may be surprising to those unaware of the history of medicine that technology in cardiac care dates to the last decade of ...

New machine learning framework predicts promising nucleoside hydrogels before they are synthesized and tested in the ...

Periodontitis is one of the most common chronic inflammatory diseases worldwide and a leading cause of tooth loss in adults.

From health and AI-related investments to workforce readiness, FSU and FAM are homing in on key areas of focus to hold ...