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  Published Paper Details:

  Paper Title

Analyzing the Transformative Role of Artificial Intelligence and Machine Learning in Optimizing Drug Discovery.

  Authors

  Amit Kumar,  Vrutti Patel

  Keywords

Artificial Intelligence, Machine Learning, Drug Discovery, Pharmaceutical Field

  Abstract


The integration of Artificial Intelligence (AI) and Machine Learning (ML) has significantly transformed the drug discovery process, enhancing efficiency, accuracy, and speed. These technologies are applied across various stages of drug development, including target identification, lead compound screening, drug design, and clinical trial optimization. By leveraging vast datasets and predictive algorithms, AI and ML facilitate the identification of novel drug candidates and reduce failure rates. However, challenges such as data quality, model interpretability, and ethical considerations must be addressed to fully realize their potential. This paper explores the transformative impact of AI and ML in drug discovery, highlighting current applications, challenges, and future directions in the field.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504461

  Paper ID - 281851

  Page Number(s) - d944-d949

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Amit Kumar,  Vrutti Patel,   "Analyzing the Transformative Role of Artificial Intelligence and Machine Learning in Optimizing Drug Discovery.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.d944-d949, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504461.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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