DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Health tracking technologies offer insights into wellbeing but may also cause anxiety and data misinterpretation. Evaluating ...
“The projects awarded pilot studies grants for 2026 address important clinical and translational science questions,” says CTSI Director Sanjay Sethi, MD, SUNY Distinguished Professor of medicine and ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Introduction: New-onset diabetes (NOD) represents a high-risk population for pancreatic ductal adenocarcinoma (PDAC), yet effective early detection tools for this specific subgroup remain an unmet ...
1 Department of Endocrinology, Hainan Provincial People’s Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China 2 Department of Medical Record Management, Hainan ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...