Predictive Roles of Artificial Intelligence in Pre-Clinical Studies: An Overview
DOI:
https://doi.org/10.67224/ioasdjmps.2026.v03i03.006Keywords:
Artificial intelligence (AI); Organ-on-chip; Digital twins; Animal models; AI agentsAbstract
Animal testing in preclinical drug development has long raised scientific and ethical concerns. Artificial intelligence (AI), through its deep learning (DL) and machine learning (ML) sub-fields causing a paradigm shift in pre-clinical research by offering the potential to partially or fully reduce reliance on animal experimentation and to provide more human-relevant alternatives. This review examines the emerging roles of AI in preclinical drug development process which includes drug screening; pharmacodynamic and pharmacokinetic prediction; toxicity and carcinogenicity assessment; organ-on-chip technology, digital twins, virtual animal models, regulatory compliance, and autonomous AI agents while critically addressing the challenges and limitations that accompany this transition.
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Copyright (c) 2026 Satadru Ghosh, Nilimanka Das (Author)
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