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 ...
A new study by researchers at the Icahn School of Medicine at Mount Sinai suggests that artificial intelligence (AI) could ...
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, ...
We all know how formidable the Yellow Jackets are rushing the football this season, and the ranks that they have them as a top unit in the country. They are also No. 18 in total offense, nearing 500 ...
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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