Nature

Machine learning prediction models for mode of delivery in prolonged pregnancies in Sweden

The initial study population consisted of nulliparous women across all registered age groups with a low-risk pregnancy who gave birth in Sweden at or beyond 41 + 0 GW between 1998 and 2019. Low-risk ...
Nature

Accurate prediction of hypoglycemia and hyperglycemia using machine learning in critically ill patients

Hypoglycemia and hyperglycemia are common complications among critically ill patients. Maintaining blood glucose levels in the normal range is crucial but challenging due to complex influencing ...
Frontiers

Advancing Machine Learning for Space Weather Forecasting: Integrating Solar Observations, Geomagnetic Storm Prediction, and GNSS Ionospheric Forecasting

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

Even weak ocean models can provide valuable information for environmental forecasts, study shows

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing stress on marine ecosystems and, in extreme cases, causing fish kills. As ...
Medindia

How Accurate Is Machine Learning in Predicting Breast Cancer Recovery?

A machine learning study of 4,776 women found AI can predict physical, emotional, and social outcomes after breast cancer ...
technologynetworks

AI Models for Protein Function Prediction

AI protein function prediction is reshaping how laboratories approach protein annotation, hypothesis generation, and translational research. As sequencing technologies continue to outpace experimental ...