Machine learning for enhanced survival prediction from tumour growth inhibition data

Background: The two-stage modelling approach is often used to characterise the link between overall survival (OS) and tumour growth inhibition metrics (TGI) derived from longitudinal tumour size data. This study evaluated the predictive performance of a two-stage TGI-OS model using survival machine learning (ML) methods in comparison to standard Cox proportional hazards (Cox PH) regression. […]