Exploiting common patterns in diverse cancer types via multi-task learning
Abstract Cancer prognosis requires precision to identify high-risk patients and improve survival outcomes.Conventional methods struggle with the Progesterone Products complexity of genetic biomarkers and diverse medical data.Our study uses deep learning to distil high-dimensional medical data into low-dimensional feature vectors exploring shared pa