RAJESH V
Biography
1.Working as an Assistant Professor, at SRM Institute of Science and Technology, Trichy from 2024 to till date. (NIRF ? 11)
2.Working as an Assistant Professor, at Kalasalingam Academy of Research and Education, Virudhunagar, from 2022 to 2024. (NIRF ? 37)
3.Working as an Assistant Professor, at Ramco institute of Technology., Virudhunagar, from 2017 to 2020.
4.Worked as Assistant Professor at Dhanalakshmi College of Engineering, Chennai, from 2015 to 2017.
5.Worked as an Associate at HCL Infosystem Ltd, Chennai, from 2011 to 2013.
Research Interest
1.Image and Signal Processing (Satellite & Remote Sensing )
2.Artificial Intelligence & Deep Learning
3.Tele-Communication and Networking
Abstract
Bridging Biotechnology and Translational Medicine: Accelerating Drug Discovery Through AI and Biomarker Innovation
Biotechnology has emerged as a transformative force in modern drug discovery, offering
advanced tools that accelerate the identification, optimization, and translation of novel
therapeutics. Recent developments in artificial intelligence (AI), omics technologies, and high
throughput screening have significantly reduced the time and cost associated with drug
development while improving the precision of candidate selection. However, a critical
challenge remains in bridging the gap between laboratory discoveries and successful clinical
applications.
This presentation will highlight how integrative biotechnology platforms?combining AI
driven drug discovery, biomarker identification, and patient-derived models?are reshaping
the translational medicine landscape. Specific emphasis will be placed on the role of predictive
biomarkers in patient stratification, the use of CRISPR-based systems for functional validation,
and the application of computational drug repurposing for unmet clinical needs. Case studies
from oncology and rare diseases will be discussed to illustrate the successful transition of
benchside innovations to bedside therapies.
By addressing both scientific advances and translational hurdles, this talk will underscore the
importance of interdisciplinary collaboration in accelerating therapeutic development.
Ultimately, the integration of biotechnology, data-driven discovery, and translational
frameworks holds the potential to revolutionize personalized medicine, delivering safer, more
effective treatments to patients worldwide
Keywords: Biomarkers, Drug Discovery, Translational Medicine, CRISPR and
Computational Drug Repurposing.
