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 ...
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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 ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
Researchers analyzed DNA methylation in human skeletal muscle and identified age-linked epigenetic markers that enable highly ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
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How AI Machine Learning Is Transforming Driving Decisions
From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...
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