Smartwatches may transform blood sugar tracking, but today’s advances depend on CGMs, AI, and regulated health tech ...

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

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

The future of equitable AI in community health centers will be measured by how effectively we are able to demand partnership ...

The electric nose device developed by UC Berkeley engineers. (Brandon Sánchez-Mejia/UC Berkeley) If you wind up with an upset ...

The box from the Finnish company MedicubeX is now being used in various care scenarios. In an interview with heise online, founder and CEO Vili Kostamo discusses the company's latest projects, ...

“This PIC Packaging Center of Competency at C2MI, launched in collaboration with Aeponyx and our partners, helps turn advanced integrated photonics into repeatable, industrial-grade capabilities in ...

A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...

The presence of certain bacteria in the gut microbiota, and fluctuations in a person's metabolism, can be seen in people who ...

The triglyceride-glucose (TyG) index has emerged as a simple, economical surrogate marker of insulin resistance, calculated from fasting triglyceride and fasting plasma glucose measurements.