Multi-Criteria Compound Prioritisation and Go/No-Go Signal Modelling: Machine Learning Frameworks for Enhanced Decision-Making in Drug Development

Authors

  • Małgorzata Michalewicz Associate Professor of Computer Science, Warsaw University of Technology

Keywords:

multi-criteria compound prioritisation, go/no-go signal modelling, machine learning frameworks, enhanced decision-making

Abstract

Drug development is a complex field with important decision-making processes that directly lead to the success or failure of pharmaceuticals. There is increasing interest in employing artificial intelligence (AI) to assist in these decision-making processes. AI technologies generally claim to improve the efficiency and accuracy of these processes. AI is seen to be able to scroll through vast datasets, find patterns and associations that are missed by humans.

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Published

31-12-2025

How to Cite

[1]
“Multi-Criteria Compound Prioritisation and Go/No-Go Signal Modelling: Machine Learning Frameworks for Enhanced Decision-Making in Drug Development”, IoT and Edge Comp. J, vol. 5, no. 2, pp. 9–16, Dec. 2025, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/iotecj/article/view/747