The IAEA is inviting research organizations to join a new project that will use machine learning to better predict structural changes in polymers caused by ionizing radiation. Rad ...
A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...
A web-based system based on optimized models from 3 clinical scenarios may support clinical decision-making for personalized MPA therapy. A machine learning-driven framework accurately predicts ...
Cleveland-Cliffs, Inc. is a flat-rolled steel company, which engages in provision of iron ore pellets to the North American steel industry. It focuses on the production of metallic and coke, iron ...
Abstract: This article presents a method for generating accurate and efficient macromodels of high-speed input/output (I/O) buffers. Extending existing techniques, the proposed approach enables a ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
Abstract: Regular exercise plays a crucial role in the management of chronic obstructive pulmonary disease (COPD), yet many patients struggle with adherence to such health-promoting behaviors. This ...
Artificial intelligence (AI) refers to computer systems designed to perform tasks that require human intelligence, while machine learning (ML) is used to learn patterns from data and subsequently ...
TRAVIS COUNTY, Texas (KXAN) — Several Central Texas fire departments have adopted a new wildfire risk modeling tool to help firefighters better prepare and mitigate wildfire threats. The ‘Mitigate’ ...
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