Drosophila -- known as fruit flies -- are a valuable model for human heart pathophysiology, including cardiac aging and cardiomyopathy. However, a choke point in evaluating fruit fly hearts is the ...

A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard statistical models in identifying and stratifying transplant ...

A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than typical methods.

This map depicts the predicted types of soil in Tokyo with an unprecedented level of detail. Such maps are essential for urban planning and earthquake risk assessment, as they reveal areas that are ...

Researchers at City of Hope, a cancer research and treatment organization, and the University of California, Berkeley, have created a novel microfluidic platform that can assess women's breast cancer ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...

Integrated Cyber Solutions Inc. (CSE: ICS) (OTCQB: IGCRF) (FSE: Y4G), doing business as Integrated Quantum Technologies ...

Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and ...