Currently, there are several machine learning models for identifying stroke lesions in computed tomography-perfusion (CT-P) images. But they do not perform well enough for clinical applications ...

Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry.

A new geometric machine learning method promises to accelerate precision drug development Peer-Reviewed Publication CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences ...

To address this issue, scientists have come up with various machine learning models that perform automatic segmentation of CT-P scans.

A research team from Leipzig University, the Max Planck Institute and Heidelberg University, all in Germany, devised a new segmentation algorithm for stroke lesions that improves upon previous methods ...

Proteins are the foundation of all life we currently know. With their virtually limitless diversity, they can perform a broad variety of biological functions, from delivering oxygen to cells and ...