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

Blais Rebecca, Krishan Kumar, S. Padmini, Bipin K. Srivastava, Shubhajit Halder, Sampath Boopathi

2023Advances in computational intelligence and robotics book series17 citationsDOI

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.

Topics & Concepts

Drug discoveryProcess (computing)SustainabilityData scienceConvergence (economics)NanotechnologyComputer scienceBiochemical engineeringManagement scienceEngineeringChemistryMaterials scienceBiologyEconomic growthEconomicsEcologyBiochemistryOperating systemChemistry and Chemical EngineeringComputational Drug Discovery MethodsProcess Optimization and Integration
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