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Alternatives of Animal Models for Biomedical Research: a Comprehensive Review of Modern Approaches.

Abhinav VashishatPreeti PatelGhanshyam Das GuptaBalak Das Kurmi
Published in: Stem cell reviews and reports (2024)
Biomedical research has long relied on animal models to unravel the intricacies of human physiology and pathology. However, concerns surrounding ethics, expenses, and inherent species differences have catalyzed the exploration of alternative avenues. The contemporary alternatives to traditional animal models in biomedical research delve into three main categories of alternative approaches: in vitro models, in vertebrate models, and in silico models. This unique approach to artificial intelligence and machine learning has been a keen interest to be used in different biomedical research. The main goal of this review is to serve as a guide to researchers seeking novel avenues for their investigations and underscores the importance of considering alternative models in the pursuit of scientific knowledge and medical breakthroughs, including showcasing the broad spectrum of modern approaches that are revolutionizing biomedical research and leading the way toward a more ethical, efficient, and innovative future. Models can insight into cellular processes, developmental biology, drug interaction, assessing toxicology, and understanding molecular mechanisms.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • healthcare
  • deep learning
  • endothelial cells
  • room temperature
  • ionic liquid
  • induced pluripotent stem cells
  • adverse drug