From Bench to Bedside: AI-Enabled Drug Repurposing for Innovative Therapies in Complex Diseases

• Published in: Asian Journal of Pharmaceutical Research Vol. 15; no. 1; pp. 72 - 76
• Main Authors: Yadav, Karina Laxman, Desai, Neha, Prajapati, Anuradha, Narkhede, Sachin, Luhar, Sailesh
• Format: Journal Article
• Language: English
• Published: Raipur Athena Information Solutions Pvt. Ltd 31.03.2025
• Subjects: Algorithms; Alzheimer's disease; Artificial intelligence; Cardiovascular disease; Collaboration; Coronaviruses; Costs; COVID-19; Data visualization; Datasets; Deep learning; Drug development; Genomics; Global health; Infectious diseases; Machine learning; Metabolism; Natural language processing; Pharmaceutical industry; Proteins; R&D; Rare diseases; Research & development; Side effects; Toxicity
• ISSN: 2231-5683; 2231-5691
• DOI: 10.52711/2231-5691.2025.00012

This comprehensive review article gives the information about the importance about AI in drug repurposing for complex diseases. The increasing prevalence of complicated diseases such as infectious diseases, neurological disorders, and cardiovascular problems calls for the development of novel therapeutic approaches. Conventional medication development is expensive and time-consuming; years of study and clinical trials are frequently needed. AI-enabled medication repurposing has surfaced as a viable method to accelerate the process in this regard. This methodology leverages artificial intelligence (AI) technology, including machine learning and natural language processing, to explore the possibilities of currently licensed drugs for novel therapeutic applications. The present level of AI-driven medication repurposing is examined in this review, with an emphasis on the benefits it offers over conventional techniques and how quickly it could lead to the discovery of new treatments. Key AI strategies, effective case studies, and the shift from preclinical to clinical research are covered. It also tackles difficulties including interpretability of models, data quality, and regulatory concerns. All things considered, AI-enabled drug repurposing is a revolutionary strategy for creating more efficient and reasonably priced treatments for complicated illnesses.