Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

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 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.

Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.

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 ...

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.

Researchers have developed an AI-guided, shape-changing microneedle patch that speeds wound healing while reducing infection ...

Dognosis, a startup in Bengaluru, is using AI, motion sensor and dog treats to create a multi-cancer detection test.