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Step into the riveting pages of Artificial Intelligence and Machine Learning in Drug Design and Development and unravel the impact of AI and machine learning in the world of medicine. The book instills intricate concepts on the future of medicine, unlocking potential in AI and ML, and breakthroughs in healthcare. AI helps in predicting a much broader chemical pallet for the best molecules for drug testing and delivery. Discover how cutting-edge technologies develop drug discovery processes and impact the pharmaceutical industry, healthcare, and patients' well-being. Whether you are a…mehr
Step into the riveting pages of Artificial Intelligence and Machine Learning in Drug Design and Development and unravel the impact of AI and machine learning in the world of medicine. The book instills intricate concepts on the future of medicine, unlocking potential in AI and ML, and breakthroughs in healthcare. AI helps in predicting a much broader chemical pallet for the best molecules for drug testing and delivery. Discover how cutting-edge technologies develop drug discovery processes and impact the pharmaceutical industry, healthcare, and patients' well-being. Whether you are a researcher, scientist, or industry professionals, the book compromises of 19 chapters providing drug design methods and development. Chapters present various AI techniques in drug discovery and challenges encountered in implementing AI in docking algorithms. Discover the future applications of robotics and AI in healthcare. Furthermore, Find out different uses of machine learning algorithms and discussions of challenges, techniques, and discoveries using ML tools and techniques in drug development.
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Abhirup Khanna is an accomplished professional currently working as an assistant professor at the University of Petroleum and Energy Studies, Dehradun, India. He is an alumnus of The University of Melbourne, Australia. He has authored two books and numerous research publications in the areas of AI, blockchain technology, Internet of Things, and Cloud Computing for international journals and conferences. His research profile demonstrates his commitment to pushing the boundaries of AI and blockchain technology and his potential to drive transformative changes in these fields. May El Barachi, PhD, is the Director of Computer Science & IT Programs at the University of Wollongong in Dubai, UAE. An Egyptian-Canadian computer scientist, and smart technology expert with degrees in telecom, engineering, computer engineering, and computer science, Dr. El Barachi holds leadership roles in teaching/learning and research. In her current role, she defines the research strategy for the faculty and ensures that the right ecosystem is established for conducting high-impact research. Sapna Jain, PhD, is an assistant professor at the University of Petroleum and Energy Studies, Dehradun, India. She has earned her PhD in 'Synthesis of novel bioactive compounds' from Delhi University. She has published various research papers in renowned national and international journals, as well as two patents concerning the application of a synergistic combination of synthetic and natural products as an antifungal agent. Manoj Kumar, PhD, is an associate professor at the University of Wollongong in Dubai, UAE as well as the Research Head for Network and Cyber Security Cluster at the university. He obtained his PhD from The Northcap University, Haryana, India. Dr. Kumar has more than 14 years of research, teaching, and corporate experience, and has published more than 175 research articles in international refereed journals and conferences. Anand Nayyar, PhD, obtained his doctorate from Desh Bhagat University, Punjab, India in 2017 and is currently an assistant professor at the School of Computer Science, Duy Tan University, Viet Nam. He is also the Vice-Chairman of Research and Director of the IoT and Intelligent Systems Lab at Duy Tan University. He has published more than 180 research articles in international refereed journals, 50 books, and has 100+ patents to his credit. He has more than 12,000 citations on Google Scholar.
Inhaltsangabe
Preface xxi 1 The Rise of Intelligent Machines: An Introduction to Artificial Intelligence 1 Shamik Tiwari 2 Introduction to Bioinformatics 23 Bancha Yingngam 3 Exploring the Intersection of Biology and Computing: Road Ahead to Bioinformatics 67 Ahmed Mateen Buttar, Muhammad Nouman Arshad and Anand Nayyar 4 Machine Learning in Drug Discovery: Methods, Applications, and Challenges 93 Geetha Mani and Gokulakrishnan Jayakumar 5 Artificial Intelligence for Understanding Mechanisms of Antimicrobial Resistance and Antimicrobial Discovery: A New Age Model for Translational Research 117 Yashaswi Dutta Gupta and Suman Bhandary 6 Artificial Intelligence-Powered Molecular Docking: A Promising Tool for Rational Drug Design 157 Nabajit Kumar Borah, Yukti Tripathi, Aastha Tanwar, Deeksha Tiwari, Aditi Sinha, Shailja Sharma, Neetu Jabalia, Ruchi Jakhmola Mani, Seneha Santoshi and Hina Bansal 7 Revolutionizing Drug Discovery: The Role of AI and Machine Learning in Accelerating Medicinal Advancements 189 Anu Sayal, Janhvi Jha, Chaithra N., Atharv Rajesh Gangodkar and Shaziya Banu S. 8 Data Processing Method for AI-Driven Predictive Models or CNS Drug Discovery 223 Ajantha Devi Vairamani, Sudipta Adhikary and Kaushik Banerjee 9 Machine Learning Applications for Drug Repurposing 251 Bancha Yingngam 10 Personalized Drug Treatment: Transforming Healthcare with AI 295 Abhirup Khanna and Sapna Jain 11 Process and Applications of Structure-Based Drug Design 321 Shanmuga Sundari M., Sree Aiswarya Thotakura, Mounika Dharmana, Priyanka Gadela and Mayukha Mandya Ammangatambu 12 AI-Based Personalized Drug Treatment 369 Shanmuga Sundari M., Harshini Reddy Penthala, Akshita Mogullapalli and Mayukha Mandya Ammangatambu 13 AI Models for Biopharmaceutical Property Prediction 407 Bancha Yingngam 14 Deep Learning Tactics for Neuroimaging Genomics Investigations in Alzheimer's Disease 451 Mithun Singh Rajput, Jigna Shah, Viral Patel, Nitin Singh Rajput and Dileep Kumar 15 Artificial Intelligence Techniques in the Classification and Screening of Compounds in Computer-Aided Drug Design (CADD) Process 473 Raghunath Satpathy 16 Empowering Clinical Decision Making: An In-Depth Systematic Review of AI-Driven Scoring Approaches for Liver Transplantation Prediction 499 Devi Rajeev, Remya S. and Anand Nayyar 17 Pushing Boundaries: The Landscape of AI-Driven Drug Discovery and Development with Insights Into Regulatory Aspects 533 Dipak D. Gadade, Deepak A. Kulkarni, Ravi Raj, Swapnil G. Patil and Anuj Modi 18 Feasibility of AI and Robotics in Indian Healthcare: A Narrative Analysis 563 Rahul Joshi and Rhythma Badola 19 The Future of Healthcare: AIoMT--Redefining Healthcare with Advanced Artificial Intelligence and Machine Learning Techniques 605 Wasswa Shafik References 628 Index 635
Preface xxi 1 The Rise of Intelligent Machines: An Introduction to Artificial Intelligence 1 Shamik Tiwari 2 Introduction to Bioinformatics 23 Bancha Yingngam 3 Exploring the Intersection of Biology and Computing: Road Ahead to Bioinformatics 67 Ahmed Mateen Buttar, Muhammad Nouman Arshad and Anand Nayyar 4 Machine Learning in Drug Discovery: Methods, Applications, and Challenges 93 Geetha Mani and Gokulakrishnan Jayakumar 5 Artificial Intelligence for Understanding Mechanisms of Antimicrobial Resistance and Antimicrobial Discovery: A New Age Model for Translational Research 117 Yashaswi Dutta Gupta and Suman Bhandary 6 Artificial Intelligence-Powered Molecular Docking: A Promising Tool for Rational Drug Design 157 Nabajit Kumar Borah, Yukti Tripathi, Aastha Tanwar, Deeksha Tiwari, Aditi Sinha, Shailja Sharma, Neetu Jabalia, Ruchi Jakhmola Mani, Seneha Santoshi and Hina Bansal 7 Revolutionizing Drug Discovery: The Role of AI and Machine Learning in Accelerating Medicinal Advancements 189 Anu Sayal, Janhvi Jha, Chaithra N., Atharv Rajesh Gangodkar and Shaziya Banu S. 8 Data Processing Method for AI-Driven Predictive Models or CNS Drug Discovery 223 Ajantha Devi Vairamani, Sudipta Adhikary and Kaushik Banerjee 9 Machine Learning Applications for Drug Repurposing 251 Bancha Yingngam 10 Personalized Drug Treatment: Transforming Healthcare with AI 295 Abhirup Khanna and Sapna Jain 11 Process and Applications of Structure-Based Drug Design 321 Shanmuga Sundari M., Sree Aiswarya Thotakura, Mounika Dharmana, Priyanka Gadela and Mayukha Mandya Ammangatambu 12 AI-Based Personalized Drug Treatment 369 Shanmuga Sundari M., Harshini Reddy Penthala, Akshita Mogullapalli and Mayukha Mandya Ammangatambu 13 AI Models for Biopharmaceutical Property Prediction 407 Bancha Yingngam 14 Deep Learning Tactics for Neuroimaging Genomics Investigations in Alzheimer's Disease 451 Mithun Singh Rajput, Jigna Shah, Viral Patel, Nitin Singh Rajput and Dileep Kumar 15 Artificial Intelligence Techniques in the Classification and Screening of Compounds in Computer-Aided Drug Design (CADD) Process 473 Raghunath Satpathy 16 Empowering Clinical Decision Making: An In-Depth Systematic Review of AI-Driven Scoring Approaches for Liver Transplantation Prediction 499 Devi Rajeev, Remya S. and Anand Nayyar 17 Pushing Boundaries: The Landscape of AI-Driven Drug Discovery and Development with Insights Into Regulatory Aspects 533 Dipak D. Gadade, Deepak A. Kulkarni, Ravi Raj, Swapnil G. Patil and Anuj Modi 18 Feasibility of AI and Robotics in Indian Healthcare: A Narrative Analysis 563 Rahul Joshi and Rhythma Badola 19 The Future of Healthcare: AIoMT--Redefining Healthcare with Advanced Artificial Intelligence and Machine Learning Techniques 605 Wasswa Shafik References 628 Index 635
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