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Neural Network Models to Predict Clinical Trial Completion

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  • Clarke Patrone
  • Jaseem Mahmmdla
  • Roshan Seth
  • Gayathri Devi Raghupathy

Abstract

Clinical trials often face severe delays contributing to costs and inefficiencies in bringing the drug to the market. To address this problem, the authors describe a neural network-based model to predict the primary completion date (PCD) of a clinical trial. Copyright International Institute of Forecasters, 2025

Suggested Citation

  • Clarke Patrone & Jaseem Mahmmdla & Roshan Seth & Gayathri Devi Raghupathy, 2025. "Neural Network Models to Predict Clinical Trial Completion," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 76, pages 15-20, Q1.
    • Handle: RePEc:for:ijafaa:y:2025:i:76:p:15-20
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