The role of artificial intelligence integrating multi-omics in breast cancer

Abstract

In an era of precision oncology, genomic testing plays a crucial role in the management of breast cancer. A variety of complex techniques for germline, somatic, and gene expression testing are routinely used as part of our clinical practice. However, challenges remain in both interpreting genomic data and in the ever-expanding breadth of available tumor information. Artificial intelligence (AI), specifically machine learning and deep learning models, can create and facilitate the interpretation of complex genetic data, predict patient outcomes, and personalize treatment plans. Herein, we present a review of the current role of AI integrating multi-omics in BC.