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This review aims to explore the role of artificial intelligence and machine learning in improving drug discovery and development processes.

June 13, 2026Open Access

Review on Artificial Intelligence and Machine Learning in Drug Discovery and Development

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This review aims to explore the role of artificial intelligence and machine learning in improving drug discovery and development processes.
Comprehensive review of AI and ML principles and applications in drug development.
Analysis of challenges and limitations associated with these technologies.
Evaluation of the impact of AI and ML on clinical trial optimization and therapeutic discovery.
AI and ML can significantly reduce the time and costs associated with drug development.
Integration with big data analytics has accelerated the identification of new therapeutic candidates.
Challenges such as data quality and regulatory compliance impede full adoption of AI and ML in pharmaceuticals.

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Review discusses AI and ML applications to enhance drug discovery and development efficiency, indicating transformative potential.

*Siddharth Soni, Dr. Rekha Gour, Dr. Prashant Gupta (2026) studied this question.

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