Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through ...

A deep learning model was able to determine the presence or absence of distinct autoimmune neuroinflammatory disorders.

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.