A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...
AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
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, ...
This research was published in Communications Chemistry.Unprecedented robustness of physics informed atomic energy models at ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out ...
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