Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation

van der Schaar, Mihaela, Peck, Richard, McKinney, Eoin, Weatherall, Jim, Bailey, Stuart, Rochon, Justine, Anagnostopoulos, Chris, Marquet, Pierre, Wood, Anthony, Best, Nicky, Amad, Harry, Piskorz, Julianna, Kacprzyk, Krzysztof, Salama, Rafik, Gunther, Christina, Frau, Francesca, Pugeat, Antoine, Hernandez, Ramon

arXiv.org Artificial Intelligence 

Clinical trials are the bedrock of medical practice. They provide a scientifically rigorous way to test the safety and efficacy of new treatments, drugs, and medical devices. Considering the substantial investment required for clinical trials, with Phase III trials often exceeding $500 million and lasting several years [Sertkaya et al., 2024], it is crucial to conduct them with utmost efficiency. Furthermore, they represent a cornerstone in the pharmaceutical industry's ongoing commitment to enhancing patient care strategies. To inform evidence-based practice, trials should accurately represent the diversity and complexity of real-world patient populations, thereby strengthening the evidence for new treatments.

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