The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
15don MSN
A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction
Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a urine-based biological aging clock. In validation of the method, predicted ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
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