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Author

Stojan Gavric

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Open access Aug 2026

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...

N. Cihoric, Stojan Gavric, F. Dennstädt et al. · 0 citations

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