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Series: Machine Learning in Biomedical Science and Healthcare Informatics

Series Editor(s): Vishal Jain and Jyotir Moy Chatterjee

Scope:
The current trajectory of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) and Computational Intelligence (CI) has revolutionized the healthcare system around the world, making it patient-centric, data-driven and highly intelligent. Biomedical data, with its rapidly growing availability, from electronic health records (EHRs) and wearable sensors, smart medical devices, genomic data, imaging systems, telemedicine systems, and Internet of Medical Things (IoMT) have presented unprecedented opportunities for new and advanced computational methodologies in the fields of biomedical data analysis and informatics, and healthcare. At the same time, new models like Healthcare 4.0, digital medicine, precision healthcare, neuromorphic computing, explainable AI, and federated intelligence are changing the nature of diagnosis, monitoring, prediction, and treatment of various diseases.
The aim of the book series Machine Learning in Biomedical Science and Healthcare Informatics is to encompass all aspects of advanced research, innovation, methodologies, tools, frameworks and applications in intelligent healthcare technologies, to disseminate cutting edge research and innovation in the field. The series is dedicated to studying how to enable the integration of machine learning, deep learning, AI, CI, big data, biomedical informatics, semantic technologies and various other methods to overcome challenges in complex healthcare systems and achieve better clinical outcomes, healthcare access, sustainability and efficiency.
This series aims to connect computational scientists and biomedical scientists by fostering the integration of experts from different disciplines from around the world, including research, academia, healthcare professions, biomedical engineering, clinical practice, industry, policy and innovation in interdisciplinary healthcare applications. The series aims for contributions that encompass both theory and algorithms, as well as practice and practical implementation, validation in clinical and industrial settings.
The scope of the series encompasses, but is not limited to, the following domains:
• Machine Learning and Deep Learning for Healthcare Applications
• Artificial Intelligence in Biomedical Science and Healthcare Informatics
• Explainable AI and Trustworthy AI in Healthcare
• Generative AI and Foundation Models for Biomedical Systems
• Neuromorphic Computing and Brain-Inspired AI for Healthcare
• Computational Intelligence for Medical Diagnosis and Prognosis
• Intelligent Clinical Decision Support Systems
• Medical Imaging and Computer Vision in Healthcare
• Biomedical Signal and Sensor Data Analytics
• AI-Driven Disease Prediction and Early Detection
• Predictive, Preventive, and Personalized Medicine
• Bioinformatics and Genomics Using AI Techniques
• Healthcare Big Data Analytics and Data Mining
• Electronic Health Records and Clinical Data Intelligence
• Intelligent Patient Monitoring and Smart Healthcare Systems
• Internet of Medical Things (IoMT) and Wearable Healthcare Devices
• Edge AI, Fog Computing, and Cloud Computing for Healthcare
• Federated Learning and Privacy-Preserving Healthcare Analytics
• Cybersecurity and Blockchain Technologies in Healthcare
• Semantic Web, Ontology Engineering, and Knowledge Graphs in Healthcare
• Digital Twins and Smart Hospital Ecosystems
• AI for Telemedicine and Remote Healthcare Services
• Robotics and Autonomous Systems in Healthcare
• Human-Centered AI and Assistive Technologies
• Natural Language Processing for Clinical and Biomedical Text Mining
• AI-Based Drug Discovery and Pharmaceutical Informatics
• Computational Biology and Precision Healthcare
• AI Applications in Mental Health and Cognitive Healthcare
• Healthcare 4.0 and Intelligent Healthcare Infrastructure
• Pandemic Prediction, Management, and Epidemiological Analytics
• Sustainable and Green Healthcare Technologies
• Ethical, Legal, Regulatory, and Social Implications of AI in Healthcare
• Healthcare Recommendation and Personalized Wellness Systems
• AI for Public Health and Population Health Analytics
• Reinforcement Learning and Adaptive Healthcare Systems
• Multimodal Biomedical Data Fusion and Analytics
• Quantum Machine Learning for Biomedical Applications
• AI-Enabled Rehabilitation and Elderly Care Systems
• Smart Diagnostics and Intelligent Therapeutic Systems
• Emerging Trends and Future Directions in Biomedical AI and Healthcare Informatics

About the Series Editor(s):
Dr. Vishal JainDr. Vishal Jain Jain currently serves as a Professor and Dean of Accreditation, Statutory Compliances & Institutional Development at the School of Engineering & Technology, Vivekananda Institute of Professional Studies - Technical Campus, New Delhi. His previous roles include Professor at Sharda University, Greater Noida, and Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. Dr. Jain has actively participated in various academic governance bodies, including the Faculty Board, Board of Planning and Management, Executive Council, Academic Council, Curriculum Development and Review Committee, and Academic Audit across multiple higher education institutions. He collaborates with Kuala Lumpur University of Science and Technology (KLUST), Lincoln University College, Putra Business School, and the Research Institute of IoT Cybersecurity at National Kaohsiung University of Science and Technology in Taiwan for research initiatives. He has supervised three Ph.D. candidates, with two additional scholars currently pursuing their degrees under his guidance. Dr. Jain has authored over 250 research papers in professional journals and conferences, and has written and edited more than 70 books, many indexed in Scopus, with renowned publishers such as Elsevier, Springer, and Wiley. His publication record exceeds 300 Scopus entries, and he serves as the book series editor for ten series with respected international publishers. In addition to his teaching responsibilities, Dr. Jain has organized numerous conferences, faculty development programs, seminars, hackathons, and activities for both faculty and students. His research interests encompass machine learning, information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, sensor networks, and network security. He has received several accolades, including the Young Active Member Award from the Computer Society of India in 2012-13, the Best Faculty Award in 2017, and the Best Researcher Award in 2019 from BVICAM, New Delhi.

Prof. Jyotir Moy ChatterjeeProf. Jyotir Moy Chatterjee is currently working as an Assistant Professor in the Department of CSE at Graphic Era (Deemed to be University) located in Dehradun, Uttarakhand, India. Additionally, he holds a position as an Assistant Professor (Visiting Faculty) in the Department of IT at Lord Buddha Education Foundation, which is affiliated with the Asia Pacific University of Technology & Innovation, Malaysia in Kathmandu, Nepal. Before these roles, he served as an Assistant Professor and Program Leader for the B.Sc. IT program at Lord Buddha Education Foundation and as an Assistant Professor in the CSE department at GD-Rungta College of Engineering & Technology, affiliated with Chhattisgarh Swami Vivekananda Technical University in Bhilai, India. His academic journey includes earning an M. Tech degree in Computer Science & Engineering from Kalinga Institute of Industrial Technology (KIIT) in Bhubaneswar, Odisha, India in 2016, and a B. Tech degree in Computer Science & Engineering from Dr. MGR Educational & Research Institute in Maduravoyal, Chennai, India in 2013. In terms of his research interests, he has a strong focus on Machine Learning and Deep Learning.

Submission to the series:
The series is open to handbooks, authored books, and edited volumes.

Dr. Vishal Jain
Professor
School of Engineering & Technology
Vivekananda Institute of Professional Studies - Technical Campus
New Delhi, India
Mobile: +91-9899997263
Email: drvishaljain83@gmail.com

Prof. Jyotir Moy Chatterjee
Assistant Professor (CSE)
Graphic Era (Deemed to be University), Dehradun, India
&
Visting Assistant Professor (IT)
Lord Buddha Education Foundation (LBEF), Kathmandu, Nepal
Mobile: +91-7050017547
E-Mail: jyotirchatterjee@gmail.com




Published and Forthcoming Titles


 		Brain-Inspired Artificial Intelligence and Neuromorphic Computing in Healthcare
Edited by Jyotir Moy Chatterjee
Copyright: 2026   |   Status: Contracted   |   Expected Pub Date: 5/30/2026   |   Hardcover


 		Artificial Intelligence-Based System Models in Healthcare
Edited by A. Jose Anand, K. Kalaiselvi and Jyotir Moy Chatterjee
Copyright: 2025   |   Status: Published   |   Expected Pub Date: 2024/11/30   |   Hardcover
 
Artificial Intelligence-Based System Models in Healthcare provides a comprehensive and insightful guide to the transformative applications of AI in the healthcare system.


 		The Impact of Algorithmic Technologies on Healthcare
Edited by Parul Dubey, Mangala Madankar, Pushkar Dubey and Bui Thanh Hung
Copyright: 2025   |   Status: Published   |   Hardcover
 
The book explores the fundamental principles and transformative
advancements in cutting-edge algorithmic technologies, detailing their
application and impact on revolutionizing healthcare.


 		Wellness Management Powered by AI Technologies
Edited by Bharat Bhushan, Akib Khanday, Khursheed Aurangzeb, Sudhir Kumar Sharma and Parma Nand
Copyright: 2025   |   Status: Published   |   Hardcover
 
This book is an essential resource on the impact of AI in medical systems, helping readers stay ahead in the modern era with cutting-edge solutions, knowledge, and real-world case studies.


 		Semantic Web for Effective Healthcare Systems
Edited by Vishal Jain, Jyotir Moy Chatterjee, Ankita Bansal and Abha Jain
Copyright: 2022   |   Status: Published   |   Hardcover
 
The book summarizes the trends and current research advances in web semantics, delineating the existing tools, techniques, methodologies, and research solutions.


 		Handbook on Intelligent Healthcare Analytics
Knowledge Engineering with Big Data
Edited by A. Jaya, K. Kalaiselvi, Dinesh Goyal and Dhiya AL-Jumeily
Copyright: 2022   |   Status: Published   |   Expected Pub Date: 2022/05/30   |   Hardcover
 
The book explores the various recent tools and techniques used for deriving knowledge from healthcare data analytics for researchers and practitioners.


 		Internet of Healthcare Things
Machine Learning for Security and Privacy
Edited by Kavita Sharma, Yogita Gigras, Vishnu Sharma, D. Jude Hemanth and Ramesh Chandra Poonia
Copyright: 2022   |   Status: Published   |   Expected Pub Date: 2022/02/28   |   Hardcover
 
The book addresses privacy and security issues providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, so that machine learning-enabled IoT devices can deliver information concealed in data for fast, computerized responses and enhanced decision-making.


 		Bioinformatics and Medical Applications
Big Data Using Deep Learning Algorithms
Edited by A. Suresh, S. Vimal, Y. Harold Robinson, Dhinesh Kumar Ramaswami and R. Udendhran
Copyright: 2022   |   Status: Published   |   Hardcover
 
The main topics addressed in this book are big data analytics problems in bioinformatics research such as microarray data analysis, sequence analysis, genomics-based analytics, disease network analysis, techniques for
big data analytics, and health information technology.


 		Computational Analysis and Deep Learning for Medical Care
Principles, Methods, and Applications <br />
Edited by Amit Kumat Tyagi
Copyright: 2021   |   Status: Published   |   Hardcover
 
The book details deep learning models like ANN, RNN, LSTM, in many industrial sectors such as transportation, healthcare, military, agriculture, with valid and effective results, which will help researchers find solutions to their deep learning research problems.


 		Enabling Healthcare 4.0 for Pandemics
A Roadmap Using AI, Machine Learning, IoT and Cognitive Technologies<br />
Edited by Abhinav Juneja, Vikram Bali, Sapna Juneja, Vishal Jain and Prashant Tyagi
Copyright: 2021   |   Status: Published   |   Hardcover
 
The book explores the role and scope of AI, machine learning and other current technologies to handle pandemics.


 		Computational Intelligence and Healthcare Informatics
Edited by Om Prakash Jena, Alok Ranjan Tripathy, Ahmed A. Elngar and Zdzislaw Polkowski
Copyright: 2021   |   Status: Published   |   Hardcover
 
The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis.


 		Recommender System with Machine Learning and Artificial Intelligence
Practical Tools and Applications in Medical, Agricultural and Other Industries<br />
Edited by Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Sarika Jain, Ahmed A. Elngar and Priya Gupta
Copyright: 2020   |   Status: Published   |   Expected Pub Date: 2020-06-16   |   Hardcover
 
This book comprehensively covers all the topics of cutting-edge and emerging recommender systems that provide personalized recommendations of items or services based on past behavior.


 		Ontology-Based Information Retrieval for Healthcare Systems
Edited by Vishal Jain, Ritika Wason, Jyotir Moy Chatterjee and Dac-Nhuong Le
Copyright: 2020   |   Status: Published   |   Hardcover
 
This unique book highlights key advances in ontology-based information retrieval techniques especially those applied in the healthcare domain and clinical information systems.