A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Discover a study validating the TRIUMPH machine learning model, which improves prediction of post-transplant recurrence in ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

Researchers integrated machine learning with multi-tiered validation to identify FDA-approved non-lipid-lowering drugs with lipid-modifying potential. From 3,430 drugs screened, 29 candidates emerged.

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, researcher Jan van Rijn is contributing to open science, aiming to make machine ...