The Impact of Artificial Intelligence in Drug Discovery
Keywords:
Artificial intelligence (AI), Drug discovery, Pharmaceutical sector, Healthcare, Machine learning, Drug developmentAbstract
The pharmaceutical industry is crucial to developing new therapies and managing complicated illnesses. However, there are many risks, costs, and hours spent on the process of finding new medications. Recent years have seen the rise of artificial intelligence (AI) as a powerful tool that has revolutionised a number of sectors, including healthcare. The many research that have been done on how artificial intelligence affects medication development are reviewed in this article. It concluded that AI technology is revolutionizing drug discovery with its predictive accuracy, enhancing productivity, patient outcomes, and personalized care. It aids in early disease prediction, personalized medicine, dose optimization, and treatment outcome prediction while reducing the reliance on in vivo bioassays. AI also accelerates drug discovery by autonomously designing and testing compounds. Its role in identifying treatments for chronic diseases and rapid drug development during pandemics underscores its transformative impact. Moving forward, interdisciplinary collaboration, robust datasets, and continued investment will be crucial for seamless AI integration in pharmaceuticals, ensuring faster, more efficient drug discovery with minimal side effects and maximum therapeutic benefits.
References
[1] C. Hasselgren and T. I. Oprea, "Artificial Intelligence for Drug Discovery: Are We There Yet?," Annu. Rev. Pharmacol. Toxicol., vol. 64, pp. 527-550, 2024,https://doi.org/10.1146/annurev-pharmtox-040323-040828
[2] W. Jiang and Z. Zhao, "Trends in Research on AI-aided drug discovery from 2009 to 2023: a 15-year Bibliometric Analysis," Intell. Pharm., vol. 3, no. 1, pp. 71-83, 2025,https://doi.org/10.1016/j.ipha.2024.09.001
[3] A. Blanco-González et al., "The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies," Pharmaceuticals, vol. 16, no. 6, pp. 1-11, 2023,https://doi.org/10.3390/ph16060891
[4] J. Deng, Z. Yang, I. Ojima, D. Samaras, and F. Wang, "Artificial Intelligence in Drug Discovery: Applications and Techniques," Appl. Artif. Intell. Healthc. Biomed., no. June, pp. 417-454, 2021,https://doi.org/10.1016/B978-0-443-22308-2.00018-4
[5] P. Krosuri et al., "Artificial intelligence in drug discovery," Regul. Rapp., vol. 21, no. 1, 2024,https://doi.org/10.56726/IRJMETS38887
[6] A. K. Sampene and F. Nyirenda, "Evaluating the effect of artificial intelligence on pharmaceutical product and drug discovery in China," Futur. J. Pharm. Sci., vol. 10, no. 1, 2024,https://doi.org/10.1186/s43094-024-00632-2
[7] P. Dixit and P. B. Singh, "The Impact of Artificial Intelligence on Various Sectors: Benefits, Challenges, and Future Prospects," Interantional J. Sci. Res. Eng. Manag., vol. 08, no. 04, pp. 1-5, 2024,https://doi.org/10.55041/IJSREM30655
[8] S. Yadav, A. Singh, R. Singhal, and J. P. Yadav, "Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry," Intell. Pharm., vol. 2, no. 3, pp. 367-380, 2024,https://doi.org/10.1016/j.ipha.2024.02.009
[9] S. P. Singh, S. K. Shukla, and R. Yadav, "Artificial intelligence and Machine learning- based approaches for Neurodegenerative Diseases Diagnosis," pp. 31-37, 2023.
[10] E. Karger and M. Kureljusic, "Using Artificial Intelligence for Drug Discovery: A Bibliometric Study and Future Research Agenda," Pharmaceuticals, vol. 15, no. 12, 2022,https://doi.org/10.3390/ph15121492
[11] C. Chakraborty, M. Bhattacharya, S.-S. Lee, Z.-H. Wen, and Y.-H. Lo, "The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges," Mol. Ther. - Nucleic Acids, vol. 35, no. 3, p. 102295, 2024,https://doi.org/10.1016/j.omtn.2024.102295
[12] S. K. Niazi and Z. Mariam, "Artificial intelligence in drug development : reshaping the therapeutic landscape," 2025,https://doi.org/10.1177/20420986251321704
[13] F. Bai, S. Li, and H. Li, "Drug Discovery and Development," JACS Au, vol. 4, no. 2, pp. 276-278, 2024,https://doi.org/10.1021/jacsau.4c00111
[14] N. M. F., "The Impact of AI on Drug Discovery and Development," no. September, pp. 89-121, 2024,https://doi.org/10.1201/9781420015737.ch4
[15] D. Paul, G. Sanap, S. Shenoy, D. Kalyane, K. Kalia, and R. K. Tekade, "Artificial Intelligence on Drug Discovery and Development," Ankara Univ. Eczac. Fak. Derg., vol. 46, no. 2, pp. 400-427, 2021, doi: 10.33483/jfpau.878041q.
[16] A. Abou Hajal and A. Z. Al Meslamani, "Insights into artificial intelligence utilisation in drug discovery," J. Med. Econ., vol. 27, no. 1, pp. 304-308, 2024,https://doi.org/10.1080/13696998.2024.2315864
[17] L. C. Druedahl, W. N. Price, T. Minssen, and A. Sarpatwari, "Use of Artificial Intelligence in Drug Development," JAMA Netw. Open, vol. 7, no. 5, p. E2414139, 2024,https://doi.org/10.1001/jamanetworkopen.2024.14139
[18] M. K. G. Abbas, A. Rassam, F. Karamshahi, R. Abunora, and M. Abouseada, "The Role of AI in Drug Discovery," ChemBioChem, vol. 25, no. 14, 2024,https://doi.org/10.1002/cbic.202300816
[19] A. U. Rehman et al., "Role of Artificial Intelligence in Revolutionizing Drug Discovery," Fundam. Res., 2024,https://doi.org/10.1016/j.fmre.2024.04.021
[20] A. I. Visan and I. Negut, "Integrating Artificial Intelligence for Drug Discovery in the Context of Revolutionizing Drug Delivery," Life, vol. 14, no. 2, 2024,https://doi.org/10.3390/life14020233
[21] R. R. Narayanan, N. Durga, and S. Nagalakshmi, "Impact of Artificial Intelligence (AI) on Drug Discovery and Product Development," Indian J. Pharm. Educ. Res., vol. 56, no. 3 Suppl., pp. s387-s397, 2022,https://doi.org/10.5530/ijper.56.3s.146
