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
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 ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
SportsLine's self-learning AI reveals NFL player props and its SGP picks for Bears vs. 49ers on 'Sunday Night Football' ...
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