Abstract

INTEGRATING ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY AND PATIENT CARE: A NEW FRONTIER IN PHARMACEUTICAL SCIENCE

Riti Pansuriya, Yashvi Paghadal, Vishva Vyas, Heer Patel, Janki Patel*

Abstract

Artificial intelligence (AI) is transforming pharmaceutical sciences and healthcare by accelerating drug discovery, optimizing clinical development, and enhancing patient care and safety monitoring. Through machine learning, deep learning, and generative algorithms, AI facilitates molecular modelling, structure-based drug design, and robotic drug delivery, significantly reducing timelines and costs. In clinical trials, AI improves study design, patient stratification, and data analysis, while in patient care, intelligent platforms and chatbots enhance disease management, medication adherence, and clinical decision-making. Pharmacovigilance and postmarket surveillance are strengthened via automated signal detection and real-time analysis of complex datasets. Hospital operations benefit from AI-driven infection surveillance, laboratory workflow optimization, and resource management. Despite challenges including data quality, biological complexity, transparency, and regulatory oversight, AI’s integration with pharmacogenomics, biomarker discovery, and digital biobanking heralds a new era of precision medicine, offering transformative potential for pharmacy practice and healthcare delivery.

Keywords: Artificial Intelligence; machine learning; Pharmacogenomics; Computational Drug Discovery and Design; Chatbots; Pharmacovigilance.