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Applications of artificial intelligence in life sciences

URI
https://hdl.handle.net/10497/29383
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Type
Article
Citation
Hoh, Y. K. (2025). Applications of artificial intelligence in life sciences. The American Biology Teacher, 87(3), 165–172. https://doi.org/10.1525/abt.2025.87.3.165
Author
Hoh, Yin Kiong 
Abstract
Artificial intelligence (AI) encompasses the science and engineering behind creating intelligent machines capable of tasks that typically rely on human intelligence, such as learning, reasoning, decision-making, and problem-solving. By analyzing vast amounts of data, identifying patterns, and making predictions that were once impossible, AI has rapidly advanced in recent years. This progress owes much to the availability of extensive data, powerful computing devices, and innovative algorithms. Life sciences explore the study of living organisms and their interactions with the environment. These disciplines seek to unravel the mechanisms of life, enhance human health, and address global challenges such as food security. In this review we investigate the contributions of AI to various domains within life sciences, including drug discovery, genomics, marine biology, and education. Additionally, we address the challenges related to integrating AI into life sciences applications. Furthermore, we reflect on the ethical and social implications of AI deployment, emphasizing the need for responsible and transparent utilization of this powerful technology.
Keywords
  • Artificial intelligen...

  • Life sciences

  • Bioethics

  • Machine learning

  • Deep learning

  • Drug discovery

  • Genomics

  • Medical imaging

  • Life sciences educati...

Date Issued
2025
Publisher
University of California Press
Journal
The American Biology Teacher
DOI
10.1525/abt.2025.87.3.165
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