Multitask learning in deep neural networks is an approach in which a single model is trained to perform multiple related tasks concurrently, exploiting commonalities and differences across tasks to ...

Leveraging a multi-task deep LASSO model, a novel MASLD clustering system was developed, defining distinct subtypes with unique clinical profiles and differential risks for hepatic and extrahepatic ...