Exploring the Intersection of AI Network Pharmacology and Ayurveda: Innovations in Traditional Medicine

Year : 2026 | Volume : 14 | Issue : 03 | Page : 92 98
    By

    Ishana Chand,

  • Alok Shiomurti Tripathi,

  • Rajiv Gupta,

  1. Ph.D. Scholar, Department of Pharmacology, School of Pharmacy, BBD University, Lucknow, Uttar Pradesh, India
  2. Professor and Head, Department of Pharmacology, Era College of Pharmacy, Era University, Lucknow, Uttar Pradesh, India
  3. Professor, Principal and Dean, Department of Pharmacognosy, School of Pharmacy, BBD University, Lucknow, Uttar Pradesh, India

Abstract

Integrative frameworks that integrate traditional medicine and modern computer research are increasingly important for advancing evidence-based, individualized healthcare. One interesting strategy is the combination of Ayurveda, network pharmacology, and artificial intelligence (AI). AI expands the capability by allowing for the quick analysis of biomedical big data, the identification of therapeutic trends, and the optimization of treatment plans. Ayurveda, with its long-standing emphasis on individualized care, holistic balance, and natural remedies, provides a distinct treasury of therapeutic knowledge to supplement these scientific breakthroughs. The presented study investigates the relationship between these three areas, proposing that combining AI with network pharmacology provides a strong foundation for deciphering and evaluating Ayurvedic formulations. Such computational approaches can illuminate molecular pathways, match traditional treatments with modern biological concepts, and provide fresh hypotheses for drug discovery. In turn, Ayurveda provides a holistic framework that is frequently lacking in reductionist biomedical models, with the ability to guide the development of multi-target, customized therapeutic solutions. This multidisciplinary approach seeks to improve the efficacy and legitimacy of Ayurvedic medicines by combining ancient wisdom with modern science. It paves the path for more precise, individualized, and scientifically verified therapies while maintaining their holistic basis. Finally, the combination of Ayurveda, network pharmacology, and AI has the potential to reshape integrative medicine by creating scalable, data-driven, and culturally grounded healthcare solutions. This combination not only improves Ayurveda’s global relevance but also helps to build creative methods for solving complicated health concerns in modern clinical practice.

Keywords: Artificial intelligence (AI), ayurveda, network pharmacology, traditional medicine, drug discovery

[This article belongs to Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy ]

How to cite this article:
Ishana Chand, Alok Shiomurti Tripathi, Rajiv Gupta. Exploring the Intersection of AI Network Pharmacology and Ayurveda: Innovations in Traditional Medicine. Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy. 2025; 14(03):92-98.
How to cite this URL:
Ishana Chand, Alok Shiomurti Tripathi, Rajiv Gupta. Exploring the Intersection of AI Network Pharmacology and Ayurveda: Innovations in Traditional Medicine. Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy. 2025; 14(03):92-98. Available from: https://journals.stmjournals.com/joayush/article=2025/view=239815


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Regular Issue Subscription Review Article
Volume 14
Issue 03
Received 10/09/2025
Accepted 26/09/2025
Published 27/09/2025
Publication Time 17 Days
22

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