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September 10, 2025Journal of Bacteriology & Mycology Open Access

Scope and impact of artificial intelligence and machine learning & deep learning in biology

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Authors

AKAkbar S. Khan

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Overview

Observational analysis reveals AI and ML enhance drug discovery and personalized treatment in biology, indicating need for skilled workforce.

Key Points

  • AI and ML improve data interpretation, advancing drug discovery and personalized treatment in biology.
  • AI-driven tools analyze data from genomics and proteomics, enhancing predictive modeling for drug efficacy.
  • Integration of AI in biology supports developments in synthetic biology and CRISPR technologies amid ethical concerns.
  • Challenges include data quality and interpretability, highlighting the need for a skilled workforce in AI applications.

Cite This Study

Akbar S. Khan (2025) studied this question.

synapsesocial.com/papers/68c2416eb210217d6479e9eahttps://doi.org/10.15406/jbmoa.2025.13.00403
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