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A predictive machine learning algorithm can identify those with early stage type 2 diabetes based purely on signs of disordered heart beat.
A new study finds people with elevated levels of the protein prostasin are at higher risk of developing type 2 diabetes, and people with both elevated levels of the protein and high blood sugar are at significantly greater risk of dying from cancer.
Nonalcoholic fatty liver disease (NAFLD) is the most common pediatric liver disease, affecting millions of children in the United States. Now researchers demonstrate a connection between NAFLD and diabetes risk.
Queen Mary University of London researchers evaluated whether genetic variants linked to type 2 diabetes in Europeans are also relevant in British Pakistani and Bangladeshi people.
Eli Lilly gains approval for potential new type 2 diabetes blockbuster drug Monjauro, which activates both glucagon-like peptide-1 and glucose-dependent insulinotropic polypeptide.
A large study of type 2 diabetes in different ethnic populations will improve future genetic risk predictions, according to an international group of researchers.
A deep learning algorithm developed by NIH researchers could help diagnose type 2 diabetes in the future, suggest results from a new study.
Scientists from the University of Leeds report they have been able to identify the step-by-step changes that take place in the molecule known as human islet amyloid polypeptide, or hIAPP, as it changes into amyloid.
Benign adrenal tumors are more likely to secrete potentially damaging cortisol hormone than previously thought, putting more people at risk for type 2 diabetes and high blood pressure than suggested by earlier studies.
Clearing dysfunctional fat cells at least once a month reduced symptoms and slowed down the development of type 2 diabetes in a mouse model, which researchers believe could translate to humans at risk of developing the condition in the future.