Enhancing clinical trial outcome prediction with artificial intelligence: a systematic review
Long Qian1, Xin Lu1, Parvez Haris2
1Faculty of Computing Engineering Media, De Montfort University, Leicester, UK.
Drug Discovery Today
|March 17, 2025
Abstract:
Clinical trials are pivotal in drug development yet fraught with uncertainties and resource-intensive demands. The application of AI models to forecast trial outcomes could mitigate failures and expedite the drug discovery process. This review discusses AI methodologies that impact clinical trial outcomes, focusing on clinical text embedding, trial multimodal learning, and prediction techniques, while addressing practical challenges and opportunities.
