DOMINATION OF AI AND MACHINE LEARNING IN PHARMACEUTICAL BIOTECHNOLOGY AND PHARMACOGENOMICS

Authors

  • Yasmin Ansari Nagpur College of Pharmacy
  • Pallavi Zode Nagpur College of Pharmacy
  • Chaitanya Durge Nagpur College of Pharmacy

DOI:

https://doi.org/10.21276/IERJ255174111277

Keywords:

Artificial Intelligence (AI), Machine Learning (ML), Pharmaceutical Biotechnology, Pharmacogenomics, Algorithms, Genomic Data

Abstract

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) is significantly transforming the landscape of pharmaceutical biotechnology and pharmacogenomics. These technologies are redefining how drugs are discovered, tested, and personalized for individual patients based on their genetic profiles. AI algorithms are now being used to identify potential drug candidates, predict molecular interactions, optimize clinical trials, and tailor therapies to enhance patient outcomes. In the realm of pharmacogenomics, ML models facilitate the interpretation of complex genomic data, enabling clinicians to anticipate drug responses and minimize adverse effects. While the benefits are substantial—ranging from faster innovation cycles to more precise medical interventions—the integration of AI also presents several challenges, including data quality issues, interpretability: of models, regulatory ambiguity, and ethical concerns around privacy and bias. This paper explores the current applications, tools, benefits, limitations, and future directions of AI and ML in pharmaceutical biotechnology and genomic medicine, emphasizing the potential of these technologies to drive a new era of personalized and predictive healthcare.

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Additional Files

Published

15-04-2025

How to Cite

Yasmin Ansari, Pallavi Zode, & Chaitanya Durge. (2025). DOMINATION OF AI AND MACHINE LEARNING IN PHARMACEUTICAL BIOTECHNOLOGY AND PHARMACOGENOMICS. International Education and Research Journal (IERJ), 11(04). https://doi.org/10.21276/IERJ255174111277

Issue

Vol. 11 No. 04 (2025): APRIL ISSUE, INTERNATIONAL EDUCATION AND RESEARCH JOURNAL

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Articles

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