open access

Journal of Artificial Intelligence and Digital Health

P e e r - R e v i e w e d  
Bi-Annual (Two issues per year)

ISSN: 3139-6267 (Online)
DOI Prefix (Crossref): 10.67238

Enhancing Pharmaceutical Research and Development through Artificial Intelligence and Machine Learning: A Paradigm Shift in Computational Drug Design and Clinical Excellence
Short Communication - Volume: 1, Issue: 1, 2026 (June)
Enhancing Pharmaceutical Research and Development through Artificial Intelligence and Machine Learning: A Paradigm Shift in Computational Drug Design and Clinical Excellence Download PDF
Raveendra Ramachandra* ORCID

Department of Pharmaceutical Chemistry, MIT Pharmacy College, Mysuru, India
*Correspondence to: Raveendra Ramachandra, Department of Pharmaceutical Chemistry, MIT Pharmacy College, Mysuru, India, E-Mail:
Received: May 14, 2026; Manuscript No: JAID-26-6588; Editor Assigned: May 18, 2026; PreQc No: JAID-26-6588(PQ); Reviewed: May 27, 2026; Revised: May 29, 2026; Manuscript No: JAID-26-6588(R); Published: June 24, 2026

ABSTRACT

The pharmaceutical landscape is undergoing a paradigm shift driven by Artificial Intelligence (AI) and Machine Learning (ML). This paper explores the transition from traditional empirical methods to data-driven discovery, focusing on drug design, clinical trials, and patient-centric healthcare delivery. By integrating predictive modeling and advanced computational architectures, the pharmaceutical industry is transitioning from serendipity-driven discovery to targeted, high-throughput precision medicine [1].

Keywords: Artificial Intelligence (AI); Machine Learning (ML); Drug Discovery; Computational Drug Design; Deep Learning; Natural Language Processing (NLP); Clinical Trials; Precision Medicine; Pharmaceutical Research and Development; Computer Vision; Drug Repurposing; Predictive Modeling; Healthcare Analytics; Pharmacoinformatics; AI-Driven Healthcare

Citation: Ramachandra R (2026). Enhancing Pharmaceutical Research and Development through Artificial Intelligence and Machine Learning: A Paradigm Shift in Computational Drug Design and Clinical Excellence. J. Artif. Intell. Digit. Health. Vol.1 Iss.1, June (2026), pp:63-64.
Copyright: © 2026 Raveendra Ramachandra. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.