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 ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
14don MSN
A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction
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 ages came within ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
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