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The variety of animal health issues and species poses particular challenges for veterinary medicine in the context of drug development. This book chapter delves further into the significance of machine learning in developing veterinary medication discovery and design methodologies. It defines how machine learning algorithms, in combination with data-driven methods, could accelerate drug discovery processes, improve therapeutic strategies, and enhance animal welfare. This chapter offers a detailed insight into the combination of machine learning and veterinary pharmacology, providing a look into the promising future of drug discovery in veterinary medicine through a careful assessment of applications, methodology, and case studies for the benefit of the veterinary science community.

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Machine Learning in Veterinary Drug Discovery

  • 章节

  • 发表日期：

    2025年

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  • Debasree Sarkar,
  • Sejal Shah,
  • Himanshu Avashthi,
  • Muktesh Chandra

摘要

The variety of animal health issues and species poses particular challenges for veterinary medicine in the context of drug development. This book chapter delves further into the significance of machine learning in developing veterinary medication discovery and design methodologies. It defines how machine learning algorithms, in combination with data-driven methods, could accelerate drug discovery processes, improve therapeutic strategies, and enhance animal welfare. This chapter offers a detailed insight into the combination of machine learning and veterinary pharmacology, providing a look into the promising future of drug discovery in veterinary medicine through a careful assessment of applications, methodology, and case studies for the benefit of the veterinary science community.