Publications by authors named "Sofia Ormazabal Arriagada"
NPJ Precis Oncol
October 2024
Article Synopsis
- Cancer prognosis needs precision to identify high-risk patients, and our study uses deep learning to simplify complex medical data into useful feature vectors for better predictions across different cancer types.)
- We developed a multi-task bimodal neural network that combines RNA sequencing and clinical data from various cancers, showing significant improvement in prognosis prediction, especially for Colon Adenocarcinoma with substantial increases in relevant metrics.)
- Our approach demonstrates that integrating data from multiple cancer types can enhance predictive accuracy and offers a promising step toward using advanced techniques for personalized medicine in cancer treatment.)
