A multidisciplinary team at UT Southwestern Medical Center has developed an AI-enabled pipeline that can quickly and accurately extract relevant information from complex, free-text medical records.

Led by Helmholtz Munich, scientists have developed an accessible software solution specifically designed for the analysis of complex medical health data. The open-source software called "ehrapy" ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Ehrapy is intended to fill a critical gap in the analysis of health data, says Lukas Heumos, one of the main developers and a scientist at the Institute of Computational Biology at Helmholtz Munich ...