Cardiovascular disease remains a major global health challenge, causing millions of deaths each year and imposing substantial healthcare costs. Early, accurate diagnosis is critical for improving ...
The key to finding more critical minerals may lie in understanding how fluids and chemicals move through rock. As these ...
Among critically ill patients with AECOPD, machine learning models using ICU data could help predict their 28-day mortality risk.
A Selçuk University researcher has compared six machine learning algorithms for predicting front- and rear-side ...
Can artificial intelligence spot women at risk for preterm birth—before symptoms appear? With preterm birth (PTB) still a ...
Cardiovascular disease remains a major global health challenge, causing millions of deaths each year and imposing substantial ...
Researchers at the University of Maryland School of Medicine have developed a computer calculator that can predict which ...
Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
A tool developed using data on more than 3.5 million adults in Sweden can identify individuals at high risk of hip fracture ...
Framework applying Kirchoff’s laws of current flow and voltage changes across circuits can identify lower-energy analog ...
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