Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

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 ...

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

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

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.

Chronic wounds remain a major health care challenge, especially for people with diabetes, who often experience delayed ...

Detecting infectious disease threats early and responding quickly can dramatically alter the course of an infectious outbreak.

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

Xellar Biosystems today announced the closing of $50 million in Series A and A+ financing to advance its vision of building the world's leading 3D Bio Intelligence platform. The financing will support ...