Phys.org

Complex deep learning models are no better at understanding genetic perturbation than simple baseline ones, study finds

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well? Contrary to expectations, a ...
Nature

A deep learning-based multimodal medical imaging model for breast cancer screening

In existing breast cancer prediction research, most models rely solely on a single type of imaging data, which limits their performance. To overcome this limitation, the present study explores breast ...
Nature

Development of a deep learning-based prediction model for postoperative delirium using intraoperative electroencephalogram in adults

Postoperative delirium (POD) is associated with increased morbidity and mortality. This study aims to develop a deep learning-based model (DELPHI-EEG) to predict postoperative delirium using ...