Volume-1 ,Issue-1, August-2025

Global Journal of Pharmaceutical and Scientific Research (GJPSR)

Abstract

AI IN PHARMACY: BRIDGING PRECISION, PREDICTION AND PERSONALIZATION

Prof. (Dr)Mohd. Wasiullah1*,Prof. (Dr) Piyush Yadav2, Hemant Kumar Maurya3, Satish Kumar Yadav4
1. Principal ,Department of Pharmacy, Prasad Institute of Technology, Jaunpur, U.P, India. 2. Head: Department of Pharma: Chemistry, Prasad Institute of Technology, Jaunpur, U.P, India. 3. Scholar- Department of Pharmacy, Prasad Institute of Technology, Jaunpur, U.P, India. 4. Associate Prof.- Department of Pharmacy, Prasad Institute of Technology, Jaunpur, U.P, India.

Abstract

Personalized medicine, patient care, and drug discovery are all changing as a result of the incorporation of artificial intelligence (AI) into pharmacy. In pharmaceutical practices, this paper examines how AI is linking the fields of accuracy, prediction, and personalization. AI facilitates more precise medication formulations, enhanced treatment plans, and better patient outcomes using sophisticated algorithms, machine learning, and data-driven insights. AI-powered precision medicine enables the customization of treatments based on personal genetic profiles, biomarkers, and medical information. Furthermore, by predicting medication efficacy, possible side effects, and patient reactions, AI-driven predictive models are transforming drug development and drastically cutting research time and expense. AI's capacity to evaluate large datasets and suggest tailored treatment strategies improves the personalization of patient care and promotes a more patient-centered healthcare ecosystem. This essay explores the developments, difficulties, and prospects of artificial intelligence in pharmacy, demonstrating how it will revolutionize the pharmaceutical and healthcare sectors.
Keyword: Drug Discovery, Clinical decision, Pharmacogenomics, Personalized Medicine, Future of AI.