Recent findings have shown that routine eye screening could also be used for early detection of underlying heart disease in ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
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.
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 ...
Abstract: This study presents a glucose concentration detection system based on a microfluidic chip integrated with a Fabry–Perot interferometer optical fiber sensor (FPIOFS). The Fabry–Perot ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Background: Coronary artery disease (CAD) demonstrates a strong bidirectional association with diabetes mellitus, which not only elevates cardiovascular disease risk but also correlates with poorer ...
Abstract: Diabetes is now an important global health problem. This paper presents a patient-oriented electronic health record system for predicting diabetes with machine learning. The diagnosis given ...
Given features such as age, glucose, insulin, and body mass index, predict whether an individual is non-diabetic, type-1-like, or type-2-like. The system must support experimentation with different ...
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