A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial ...

Key features were identified from these sequence features by machine learning methods. C, The XGBoost algorithm utilized to build the classification model and calculate the S-index.

Wireless power transfer systems exist in smartphones, electric toothbrushes, and IoT sensors. They use electromagnetic fields ...

"New machine algorithm could identify cardiovascular risk at the click of a button." ScienceDaily. ScienceDaily, 29 April 2025. <www.sciencedaily.com / releases / 2025 / 04 / 250429103146.htm>.

A score derived from machine learning that included information from stress cardiac magnetic resonance effectively predicted 10-year all-cause death in patients with known or suspected CAD ...

What comes after credit score algorithms? FICO has been exploring the potential use of machine learning. VantageScore has already applied some level of machine learning in its latest 4.0 scoring ...

A score derived from plaque features on coronary CT angiography (CCTA) using machine learning can predict ischemia just as well as CT-derived estimates of fractional flow reserve (FFR-CT), with the ...

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...