Medicine and Health
Multi-omic machine learning predictor of breast cancer therapy response
S. Sammut, M. Crispin-ortuzar, et al.
Dive into groundbreaking research by Stephen-John Sammut and colleagues that explores how multi-omic data can predict breast cancer therapy responses! This study reveals the critical role of the pre-treatment tumor ecosystem and presents machine learning models with impressive accuracy in forecasting residual disease post-therapy.
Related Publications
Explore these studies to deepen your understanding of the subject.
