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 ...
Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
A recent study published in npj Materials Degradation introduces a two-stage machine learning (ML) framework that predicts the degradation of protective coatings under various environmental conditions ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
CARE-AI: Cancer assessment risk estimation using artificial intelligence. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text component.
NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
Virginia Tech. "Researchers use deep learning to predict flooding this hurricane season." ScienceDaily. ScienceDaily, 2 June 2025. <www.sciencedaily.com / releases / 2025 / 06 / 250602154901.htm>.
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