{"product_id":"artificial-intelligence-and-machine-learning-in-drug-design-and-development-hardback-9781394234165","title":"Artificial Intelligence and Machine Learning in Drug Design and Development (Hardback) 9781394234165","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eArtificial Intelligence and Machine Learning in Drug Design and Development\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eAbhirup Khanna (Edited by), May El Barachi (Edited by), Sapna Jain (Edited by), Manoj Kumar (Edited by), Anand Nayyar (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394234165, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 1 July 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e672 pages\u003cbr\u003e25.4 x 17.8 x 3.9 cm, 1.515 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eThe book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThe intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. \u003c\/p\u003e\n\u003cp\u003eAI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. \u003c\/p\u003e\n\u003cp\u003eThis book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. \u003c\/p\u003e\n\u003cp\u003eThe editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThe book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xxi\u003c\/p\u003e \u003cp\u003e1 The Rise of Intelligent Machines: An Introduction to Artificial Intelligence 1\u003cbr\u003e\u003ci\u003eShamik Tiwari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Introduction to Bioinformatics 23\u003cbr\u003e\u003ci\u003eBancha Yingngam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Exploring the Intersection of Biology and Computing: Road Ahead to Bioinformatics 67\u003cbr\u003e\u003ci\u003eAhmed Mateen Buttar, Muhammad Nouman Arshad and Anand Nayyar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Machine Learning in Drug Discovery: Methods, Applications, and Challenges 93\u003cbr\u003e\u003ci\u003eGeetha Mani and Gokulakrishnan Jayakumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Artificial Intelligence for Understanding Mechanisms of Antimicrobial Resistance and Antimicrobial Discovery: A New Age Model for Translational Research 117\u003cbr\u003e\u003ci\u003eYashaswi Dutta Gupta and Suman Bhandary\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Artificial Intelligence-Powered Molecular Docking: A Promising Tool for Rational Drug Design 157\u003cbr\u003e\u003ci\u003eNabajit Kumar Borah, Yukti Tripathi, Aastha Tanwar, Deeksha Tiwari, Aditi Sinha, Shailja Sharma, Neetu Jabalia, Ruchi Jakhmola Mani, Seneha Santoshi and Hina Bansal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Revolutionizing Drug Discovery: The Role of AI and Machine Learning in Accelerating Medicinal Advancements 189\u003cbr\u003e\u003ci\u003eAnu Sayal, Janhvi Jha, Chaithra N., Atharv Rajesh Gangodkar and Shaziya Banu S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Data Processing Method for AI-Driven Predictive Models or CNS Drug Discovery 223\u003cbr\u003e\u003ci\u003eAjantha Devi Vairamani, Sudipta Adhikary and Kaushik Banerjee\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Machine Learning Applications for Drug Repurposing 251\u003cbr\u003e\u003ci\u003eBancha Yingngam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Personalized Drug Treatment: Transforming Healthcare with AI 295\u003cbr\u003e\u003ci\u003eAbhirup Khanna and Sapna Jain\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Process and Applications of Structure-Based Drug Design 321\u003cbr\u003e\u003ci\u003eShanmuga Sundari M., Sree Aiswarya Thotakura, Mounika Dharmana, Priyanka Gadela and Mayukha Mandya Ammangatambu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 AI-Based Personalized Drug Treatment 369\u003cbr\u003e\u003ci\u003eShanmuga Sundari M., Harshini Reddy Penthala, Akshita Mogullapalli and Mayukha Mandya Ammangatambu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 AI Models for Biopharmaceutical Property Prediction 407\u003cbr\u003e\u003ci\u003eBancha Yingngam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 Deep Learning Tactics for Neuroimaging Genomics Investigations in Alzheimer's Disease 451\u003cbr\u003e\u003ci\u003eMithun Singh Rajput, Jigna Shah, Viral Patel, Nitin Singh Rajput and Dileep Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 Artificial Intelligence Techniques in the Classification and Screening of Compounds in Computer-Aided Drug Design (CADD) Process 473\u003cbr\u003e\u003ci\u003eRaghunath Satpathy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 Empowering Clinical Decision Making: An In-Depth Systematic Review of AI-Driven Scoring Approaches for Liver Transplantation Prediction 499\u003cbr\u003e\u003ci\u003eDevi Rajeev, Remya S. and Anand Nayyar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17 Pushing Boundaries: The Landscape of AI-Driven Drug Discovery and Development with Insights Into Regulatory Aspects 533\u003cbr\u003e\u003ci\u003eDipak D. Gadade, Deepak A. Kulkarni, Ravi Raj, Swapnil G. Patil and Anuj Modi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18 Feasibility of AI and Robotics in Indian Healthcare: A Narrative Analysis 563\u003cbr\u003e\u003ci\u003eRahul Joshi and Rhythma Badola\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19 The Future of Healthcare: AIoMT--Redefining Healthcare with Advanced Artificial Intelligence and Machine Learning Techniques 605\u003cbr\u003e\u003ci\u003eWasswa Shafik\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eReferences 628\u003c\/p\u003e \u003cp\u003eIndex 635\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52511199789336,"sku":"9781394234165","price":149.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394234165.jpg?v=1786589900","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/artificial-intelligence-and-machine-learning-in-drug-design-and-development-hardback-9781394234165","provider":"Freshly Printed Books","version":"1.0","type":"link"}