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Recent progress in machine learning approaches for predicting carcinogenicity in drug development.

Nguyen Quoc Khanh LeThi-Xuan TranPhung-Anh NguyenTrang-Thi HoVan-Nui Nguyen
Published in: Expert opinion on drug metabolism & toxicology (2024)
Through the analysis of traditional approaches such as in vivo rodent bioassays and in vitro assays, the review underscores the limitations and resource intensity associated with these methods. It provides expert insights into how ML offers innovative solutions to address these challenges, revolutionizing safety assessments in drug development.
Keyphrases
  • machine learning
  • high throughput
  • high intensity
  • artificial intelligence
  • clinical practice
  • big data
  • deep learning
  • single cell