Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
More accurate and individualized health predictions will allow for preventative factors to be implemented well in advance.
Discover how artificial intelligence is transforming influenza vaccine development, accelerating timelines and improving ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
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, ...
No. 16 Georgia Tech remains firm in the spotlight and will get another chance to prove its worth against Wake Forest on the road and advance to 5-0 on the season. Georgia Tech has notable wins over ...
Background: Early identification of Type 1 Diabetes Mellitus (T1DM) in pediatric populations is crucial for implementing timely interventions and improving long-term outcomes. Peripheral blood ...
Background: Machine learning technology that uses available clinical data to predict diabetic retinopathy (DR) can be highly valuable in medical settings where fundus cameras are not accessible.
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