Leveraging AI and ITRS in Drug Discovery for Inflammatory and Cardiovascular Diseases

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Authors: N. L. Swathi, Allenki Vineesh, Abhilash Sadhankar, Muhammad Muzzamil, A. K. Arun, M. Karpakavalli, Dipanjan Maity, Ancelin Wilfy, J. Anto Musy Bosco, Gaurav Singh Pilkhwal
Cited by: 0
References: 135

Abstract

Artificial Intelligence (AI) and Intelligent Translational Research Systems (ITRS) are reshaping drug discovery for inflammatory and cardiovascular diseases by enabling rapid, data-driven identification of novel therapeutic targets and optimization of drug development pipelines. These technologies integrate genomics, proteomics, and clinical data to accelerate translational insights and support personalized treatment strategies. AI models aid in virtual screening, biomarker identification, and adaptive clinical trial designs, reducing time and cost. ITRS further bridge preclinical and clinical domains, enhancing reproducibility and translational relevance. Despite their promise, challenges persist, including algorithmic bias, data privacy concerns, and the need for transparent validation processes. Ethical oversight is essential to ensure fairness and patient safety. Regulatory frameworks must adapt to the evolving digital landscape, emphasizing interoperability, accountability, and real-world applicability.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education vaccines and immunoinformatics approaches Machine Learning in Healthcare

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
219–266
Publication date
8 January 2026
Document type
Book chapter