A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.
A recent study developed a highly accurate risk prediction framework for preterm birth (PTB) that could broaden the potential of AI-driven multi-omics applications in precision obstetrics and ...
Despite major advances in genetic testing for breast cancer risk prediction, death rates remain disproportionately high among ...
A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, has developed a method for predicting storm surges. This innovative ...
Google's DeepMind just released WeatherNext 2, a new version of its AI weather prediction model. The company promises that it "delivers more efficient, more accurate and higher-resolution global ...
WASHINGTON — A new machine learning tool can reduce errors in national flood prediction programing, resulting in more accurate predictions of where floods will occur. In a new study, scientists found ...