Machine Learning Dynamic Prediction of Metastatic Recurrence in Early-Stage Breast Cancer Patients

Senior Principal Scientist Vivek Vaidya presents findings from a research abstract accepted at ASCO 2020 that looked into a variety of Machine Learning approaches that can predict risk of metastatic breast cancer (mBC) based on cumulative historical clinical data that could help guide patient care and monitoring decisions. The study’s objective was to build on current models around prediction of risk of distance recurrence, with more dynamic models and uncover clinically interesting patterns.