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AI and Quantum Computing for Accelerating Drug Discovery and Precision Medicine
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Author(s): Kavitha K. S. (Department of Computer Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India), J. Kamalakumari (Department of Computer Applications, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, Chennai, India), Gopal Krishna (Department of Computer Science and Engineering, Supaul College of Engineering, Supaul, India), Umme Najma (Department of Biotechnology, Government Science College, Hassan, India)and S. Rama (Department of Physics, St. Joseph's College of Engineering, Chennai, India)
Copyright: 2025
Pages: 28
Source title:
Modern SuperHyperSoft Computing Trends in Science and Technology
Source Author(s)/Editor(s): Florentin Smarandache (University of New Mexico, USA)and Priyanka Majumder (Techno College of Engineering, Agartala, India)
DOI: 10.4018/979-8-3693-6875-6.ch002
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Abstract
This chapter will present how AI and Quantum Computing together can synergistically take the process of drug discovery and precision medicine to the next level. With AI possessing such powerful processing and analytic capabilities for large datasets, this enables the identification of novel drug candidates and optimization of clinical trial processes. Quantum Computing, with its unimaginable computational power, will be in a position to model such complex molecular interactions with much better accuracy in predicting the efficacy of drugs than any other classical approach. They work in collaboration to reduce timelines for drug development, slash costs drastically, and provide personalized treatment to the given individual's genetic, environment, and lifestyle factors. This chapter undertakes a review of the current applications, future trends, and challenges arising from integrating AI and Quantum Computing into pharmaceutical and healthcare industries because of their transformational impact on the future of medicine.
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