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Accelerating Precision Medicine Through Advanced Computational Techniques: Hyper Soft Computing in Drug Discovery
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Author(s): B. M. Parashiva Murthy (Department of Computer Science and Engineering, SJCE, JSS Science and Technology University, India), Saba Fatima (School of Electrical and Communication Sciences, JSPM University, Pune, India), Harishchander Anandaram (Department of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India), B. J. Job Karuna Sagar (Department of Computer Science and Engineering, Joginpally B.R. Engineering College, Hyderabad, India)and Deepshree Buchade (Department of Artificial Intelligence and Machine Learning, Dayananda Sagar College of Engineering, Bangalore, India)
Copyright: 2025
Pages: 24
Source title:
Integrating Artificial Intelligence Into the Energy Sector
Source Author(s)/Editor(s): Abdelkader Mohamed Sghaier Derbali (Taibah University, Saudi Arabia)
DOI: 10.4018/979-8-3693-7112-1.ch015
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Abstract
Hyper soft computing techniques are revolutionizing drug discovery by enhancing speed, accuracy, and efficiency in identifying potential candidates in the pharmaceutical industry. This chapter discusses how hyper soft computing, representing the merge of fuzzy logic, neural networks, evolutionary algorithms, and probabilistic reasoning, is addressing complex, uncertain, and imprecise data inherent in drug discovery. Optimization of computational models for the tasks, such as molecular docking, SAR analysis, and virtual screening, would therefore greatly reduce time and cost from that of conventional drug development. Chapter 2 Discusses the ability of machine learning algorithms in predicting drug efficacy and toxicity, which eventually lead to precision medicine. The integration of quantum-inspired algorithms with bioinformatics is being discussed for potential future pharmaceutical research using hyper soft computing. This chapter explores the current applications and future opportunities of advanced computing methodologies in accelerating drug development.
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