International Journal of Drug Delivery Technology
Volume 15, Issue 3

Recent Prospects in Leveraging Artificial Intelligence for Phytochemical Research

Kaur Ravjot1, Choudhary Tirath1, Jain Abhilasha2, Baldi Ashish1* 

1Pharma Innovation Lab, Department of Pharmaceutical Sciences & Technology, Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab-51001, India

2Department of Computer Science and Engineering, Giani Zail Singh College of Engineering & Technology, Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab-151001, India

Received: 17th May, 2025; Revised: 4th Aug, 2025; Accepted: 17th Aug, 2025; Available Online: 25th Sep, 2025

ABSTRACT

Traditional trial-and-error techniques are currently giving way to data-driven approaches by integrating artificial intelligence in herbal drug research. Although herbals have been recognized for centuries, for their potential in treatment of various health conditions but now confronting the difficulties with their identification, laborious extraction and inadequate bioavailability. Drug development, target recognition, quality assurance, precision medicines and poly or allo-herbal synergy assessment are among the many of the domains of the herbal research which are being transformed by Artificial intelligence strategies, such as machine learning, deep learning and natural language processing. Such techniques estimate the pharmacokinetics and toxicity profiles of bioactive components, enhance molecular screening and provide highly precise plant identification through these neural networks. Artificial intelligence’s real time utility in quality control has been demonstrated by smartphone applications like ‘Q-Check’, ‘Leaf-Snap’ and ‘Apleaf’. Artificial Intelligence additionally supports in synergy analysis, by forecasting advantageous combinations and avoiding harmful interactions, which results it easier for researchers to develop safer and more efficient allo-polyherbal formulations. Nonetheless constraints like universal accessibility, regulatory synchronization and data standardization persist for its continued existence. Irrespective of this, artificial intelligence continues to revolutionize herbal research and accelerating the production of next-generation phytomedicines by improving reliability, assurance and worldwide relevance.

Keywords: Artificial intelligence, Allo-poly herbal, Deep Learning, Drug Design, Drug Discovery, Herbal Drugs, Machine Learning, Pharmacovigilance, Polyherbal Synergy.

How to cite this article: Kaur Ravjot, Choudhary Tirath, Jain Abhilasha, Baldi Ashish. Recent Prospects in Leveraging Artificial Intelligence for Phytochemical Research. International Journal of Drug Delivery Technology. 2025;15(3):1378-82. doi: 10.25258/ijddt.15.3.60

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