Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

Their model used 1,557 epigenetic markers measured in blood. Using these markers, the researchers reported that they could assign people to high-risk prediabetes clusters with around 90 per cent ...

University of Virginia School of Data Science researcher Heman Shakeri has been awarded a major new research grant to lead work at the intersection of machine learning and diabetes care. Shakeri will ...

Overview: AI is transforming medical diagnosis by allowing earlier and more accurate disease detection.Machine learning ...

WSU engineers smart home sensors to monitor health, potentially extending residents' ability to live independently.

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the ...

Scientists found 6 subgroups of prediabetes based on liver fat and metabolic risk to predict future type 2 diabetes and kidney disease risk.

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the ...

Washington State University computer scientist Diane Cook is making smart homes smarter.A pioneer in the field of smart sensing and AI, Cook and her ...

The firm has announced four new US manufacturing sites since February 2025.

Scientists from several partner institutes of the German Center for Diabetes Research (DZD)* have now used artificial intelligence (AI) to identify epigenetic markers that indicate an elevated risk of ...