Machine Learning and Artificial Intelligence in Drug Repurposing—Challenges and Perspectives

• DOI: 10.58647/drugrepo.24.1.0004
• Publication Date: 2024-07-03T17:38:19Z
• Authors: Ezequiel Anokian; Judith Bernett; Adrian Freeman; Markus List; Lucía Prieto Sant...; Ziaurrehman Tanoli; Sarah Bonnin
• Keywords: Repurposing; Drug repositioning

Artificial intelligence (AI) and machine learning (ML) techniques play an increasingly crucial role in the field of drug repurposing. As number computational tools grows, it is essential to not only understand carefully select method itself, but also consider input data used for building predictive models. This review aims take a dive into current methods that leverage AI ML drive accelerate compound target selection, addition addressing existing challenges providing perspectives. While there no doubt AI- ML-based are transforming traditional approaches, especially with recent advancements graph-based methods, they present novel require human eye expert intervention. The growing complexity OMICs further emphasizes importance standardization quality.