A multi-factor machine learning model for predicting and characterizing clinical trial failures
About 15% of clinical trials terminate prematurely (fail), causing financial losses and delaying treatment development. This study utilized a subset of interventional trial records from the 471,252 studies registered in ClinicalTrials.gov until November 2023 to develop a clinical trial failure risk assessment machine l...