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December 8, 2025Frontiers in OncologyOpen Access

Artificial intelligence in oncology drug development and management: a precision medicine perspective

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Authors

CFCaixia FangCFCaixia FangPZPengfa Zhou

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Overview

This review demonstrates AI enhances pharmacovigilance and personalized treatment in oncology, suggesting new adaptive designs for drug trials.

Key Points

  • To summarize the applications of AI in oncology drug management and identify opportunities and challenges in precision medicine.
  • Review of AI applications throughout the oncology drug lifecycle
  • Discussion of precision medicine implications
  • Analysis of current challenges in AI integration and regulatory governance.
  • AI improves pharmacovigilance and toxicity surveillance in oncology drugs
  • Facilitation of adaptive designs for clinical trials using AI
  • Enhancement of treatment decision-making and prediction of drug resistance.

Cite This Study

Fang et al. (2025) studied this question.

synapsesocial.com/papers/693624984fa91c937236c104https://doi.org/10.3389/fonc.2025.1609827
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  5. 5Future trends of AI in precision oncology: Insights from a systematic review and evidence-based roadmap (2021–2024)2025 · 1 citations