Convergence of Data Science-AI-Green Chemistry-Affordable Medicine-Reference-Cited by-同舟云学术

Convergence of Data Science-AI-Green Chemistry-Affordable Medicine

Published:2023-11-27 Issue: Volume: Page:348-373
ISSN:2327-0411
Container-title:Handbook of Research on AI and ML for Intelligent Machines and Systems
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Author:

Rebecca B.¹,Kumar K. Pradeep Mohan²,Padmini S.²^ORCID,Srivastava Bipin Kumar³,Halder Shubhajit⁴^ORCID,Boopathi Sampath⁵^ORCID

Affiliation:

1. Department of Computer Science and Engineering (Data Science), Marri Laxman Reddy Institute of Technology and Management, Hyderabad, India

2. Department of Computing Technologies, SRM Institute of Science and Technology, Chennai, India

3. Department of Applied Sciences, Galgotias College of Engineering and Technology, India

4. Department of Chemistry, Hislop College, Nagpur, India

5. Mechanical Engineering, Muthayammal Engineering College, India

Abstract

The drug discovery and design process has been significantly transformed by the integration of data science, artificial intelligence (AI), green chemistry principles, and affordable medicine. AI techniques enable rapid analysis of vast datasets, predicting molecular interactions, optimizing drug candidates, and identifying potential therapeutics. Green chemistry practices promote sustainability and efficiency, resulting in environmentally friendly and cost-effective production processes. The goal is to develop affordable medicines that are not only efficacious but also accessible to a wider population. This chapter explores case studies and emerging trends to highlight the transformation of the pharmaceutical industry and innovation in drug discovery.

Publisher

IGI Global

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