Research Article

The Transformative Role of Artificial Intelligence in Accelerating Biomedical Research: A Focus on Alzheimer's Disease

Authors

  • Peraschi Selvan Subramanian The University of Texas at Austin, USA

Abstract

This article explores the transformative role of artificial intelligence in accelerating biomedical research, with a particular focus on Alzheimer's disease. The article examines how AI platforms have revolutionized traditional research methodologies through enhanced data processing capabilities, improved diagnostic accuracy, and accelerated drug discovery processes. The article highlights significant advancements in four key areas: AI-enabled research platforms and infrastructure, early detection and diagnostic applications, genomic analysis and target discovery, and autonomous research systems. These innovations have led to unprecedented improvements in processing complex datasets, identifying early disease markers, analyzing genetic variations, and automating research processes. The article demonstrates how AI integration has dramatically reduced research timelines while maintaining high accuracy rates across various applications, potentially transforming the future of biomedical research and therapeutic interventions.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (4)

Pages

375-379

Published

2025-05-14

How to Cite

Peraschi Selvan Subramanian. (2025). The Transformative Role of Artificial Intelligence in Accelerating Biomedical Research: A Focus on Alzheimer’s Disease. Journal of Computer Science and Technology Studies, 7(4), 375-379. https://doi.org/10.32996/jcsts.2025.7.4.44

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Keywords:

Artificial Intelligence in Healthcare, Biomedical Research Automation, Early Disease Detection, Genomic Analysis, Autonomous Research Systems