Predicting clinical trial success for infections based on preclinical data.

Preclinical models are ubiquitous and essential for drug discovery, yet our understanding of how well they translate to clinical outcomes is limited. In this study, we investigate the translational success of treatments for infection from animal models to human patients. Our analysis shows that only 36% of the preclinical and clinical experiment pairs result in translation success.