TCGA BRCA Dataset

The TCGA BRCA dataset is a rich resource of multi-modal breast cancer data, fueling research aimed at improving survival risk stratification and subtype classification. Current research focuses on developing sophisticated deep learning models, including graph neural networks, transformers, and diffusion models, to integrate genomic, clinical, and histopathological image data for more accurate predictions. These advancements hold significant promise for personalized medicine by enabling more precise diagnoses, prognoses, and treatment strategies tailored to individual patient characteristics. The resulting improved accuracy in classifying breast cancer subtypes and predicting patient outcomes has substantial implications for clinical practice and research.