
International Journal on Science and Technology
E-ISSN: 2229-7677
•
Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 16 Issue 2
2025
Indexing Partners



















Accelerating Clinical Trials with Gen AI-Powered Data Analytics: A Transformative Approach to Drug Development
Author(s) | Ramesh Betha |
---|---|
Country | United States |
Abstract | Clinical trials represent one of the most critical and resource-intensive phases in drug development, often spanning several years and consuming substantial financial resources. This white paper explores how generative artificial intelligence (Gen AI) and advanced data analytics are revolutionizing the clinical trial landscape, offering unprecedented opportunities to accelerate the process while maintaining rigorous scientific standards. We examine the current challenges in clinical trials, present innovative solutions powered by Gen AI, and discuss their practical implementation across different phases of clinical research. |
Keywords | Generative AI, Clinical Trials, Drug Development, Machine Learning, Healthcare Analytics, Real-World Evidence |
Published In | Volume 12, Issue 2, April-June 2021 |
Published On | 2021-05-05 |
Cite This | Accelerating Clinical Trials with Gen AI-Powered Data Analytics: A Transformative Approach to Drug Development - Ramesh Betha - IJSAT Volume 12, Issue 2, April-June 2021. DOI 10.71097/IJSAT.v12.i2.2153 |
DOI | https://doi.org/10.71097/IJSAT.v12.i2.2153 |
Short DOI | https://doi.org/g8593t |
Share this


CrossRef DOI is assigned to each research paper published in our journal.
IJSAT DOI prefix is
10.71097/IJSAT
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
