Around 20–40% of the general population are estimated to have insulin resistance—a condition where insulin begins to be less ...

Type 2 diabetes (T2D) and obesity are metabolic conditions with many causes, including overlapping and distinct genetic ...

When combined with clinical markers, smartwatch data was able to help detect insulin resistance with nearly 90 percent ...

Biologically enriched MetPRS has the potential to add an extra layer of information to metabolic disease prediction and management approaches.

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Clinical trial data were used and contained ...

A simple blood test might one day serve as a molecular ‘clock’ that predicts not only whether someone will develop Alzheimer’s disease — but when. Blood tests are now approved for Alzheimer’s: how ...

A new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering fresh insight into the ...

The National Institute for Health and Care Excellence (NICE) has published final guidance recommending that most people newly diagnosed with type 2 diabetes be offered SGLT2 inhibitors alongside ...

The Supreme Court ruling is a blow, but the administration has other trade tools at its disposal. By Tony Romm and Ana Swanson Friday’s Supreme Court ruling eliminated President Trump’s preferred tool ...

Type 1 diabetes (T1D) is an autoimmune condition in which the body's own immune system attacks insulin-producing cells. As a result, patients with T1D must closely monitor their blood glucose (BG) ...