ENHANCING DRUG DISCOVERY AND RESEARCH THROUGH ARTIFICIAL INTELLIGENCE

ENHANCING DRUG DISCOVERY AND RESEARCH THROUGH ARTIFICIAL INTELLIGENCE

Authors

  • NANA SHASHIASHVILI Tbilisi State Medical University image/svg+xml
  • NINO BAKRADZE Bremen University

DOI:

https://doi.org/10.52340/jecm.2025.05.04

Keywords:

Artificial Intelligence, Drug Discovery, Drug Development, Medicines, Research

Abstract

Artificial intelligence (AI) is increasingly becoming a key component in pharmaceutical science, offering new avenues for drug research and development. By analyzing vast volumes of scientific data within a short time, AI reduces both the duration and cost of traditional drug discovery processes. It assists researchers in identifying therapeutic targets more efficiently, evaluating the potential effects of chemical compounds, and selecting the safest and most promising molecules in early development stages. Despite these benefits, integrating AI into drug research brings forth challenges, particularly related to data privacy, transparency, and ethical responsibility.

This paper explores how artificial intelligence is reshaping the traditional drug development landscape and emphasizes the importance of applying these technologies responsibly and ethically in pharmaceutical innovation.

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Author Biographies

NANA SHASHIASHVILI, Tbilisi State Medical University

Department of Social and Clinical Pharmacy

NINO BAKRADZE, Bremen University

Faculty of Public Health

References

Veer Patel, Manan Shah, Artificial intelligence and machine learning in drug discovery and development, Intelligent Medicine, 2022; 2(3):134-140. https://doi.org/10.1016/j.imed.2021.10.001.

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Md Ismail Ahamed Fahim, et al. Realizing the potential of AI in pharmacy practice: Barriers and pathways to adoption, Intelligent Pharmacy, 2024; 2(3):308-311. https://doi.org/10.1016/j.ipha.2024.02.003.

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Published

2025-09-04

How to Cite

SHASHIASHVILI, N., & BAKRADZE, N. (2025). ENHANCING DRUG DISCOVERY AND RESEARCH THROUGH ARTIFICIAL INTELLIGENCE. Experimental and Clinical Medicine Georgia, (5), 31–34. https://doi.org/10.52340/jecm.2025.05.04

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