Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

Using machine learning, MIT chemical engineers have created a computational model that can predict how well any given ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

The Hatch Rate Prediction Model is a critical component of our Indigenous Smart Incubator, which uses machine learning ...

More information: Ryusaku Matsumoto et al, Prediction of the hypothalamus-pituitary organoid formation using machine learning, Cell Reports Methods (2025). DOI: 10.1016/j.crmeth.2025.101119 ...

To predict the formability of these kinds of glasses, Yale researchers have developed a machine learning model based on 201 alloy features constructed from the combination of 31 elemental features, ...

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...

This study demonstrates that it is possible to generate a highly accurate model to predict inpatient and emergency department utilization using data on socioeconomic determinants of care.

Results Machine learning models trained on tabular data exhibit a 76% accuracy for the random forest model at predicting relapse evaluated with a 10-fold cross-validation (the model was trained 10 ...

The model showed promise in predicting PPD: nearly 30 percent of those predicted to be high risk developed PPD within the six months after delivery.