Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...

Overview: AI is transforming materials science by dramatically reducing the time needed to discover and test new ...

A new study utilizing artificial intelligence has identified specific behavioral patterns that predict alcohol preference in ...

Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of ...

Recent advances in diabetes detection may help to identify risk earlier. In this article, MNT discusses recent studies that ...

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...

Stanford Medicine researchers published a report on a new model, dubbed SleepFM, that tackles the links between sleep patterns and overall health.

AI is pushing Canada’s justice system toward a crisis of trust The post When Evidence Can Be Deepfaked, How Do Courts Decide What’s Real? first appeared on The Walrus.