Federated Learning in Metaverse Healthcare
Personalized Medicine and Wellness
- 1st Edition - September 12, 2025
- Latest edition
- Editors: Shubham Mahajan, Jyotir Moy Chatterjee
- Language: English
Federated Learning in Metaverse Healthcare: Personalized Medicine and Wellness explores the integration of the metaverse with healthcare, offering immersive experiences and person… Read more
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The role of telemedicine in facilitating remote diagnostics and consultations via virtual platforms, and the applications of augmented reality wearables for real-time health monitoring and wellness tracking are detailed. Additionally, the book discusses federated learning's ability to deliver personalized treatment plans tailored to individual patient needs, its role in predictive modeling for disease risks and prevention, as well as virtual health coaches offering personalized guidance for wellness management. The challenges and ethical dilemmas of metaverse healthcare and federated learning, along with potential solutions, are also considered.
- Explains privacy-preserving techniques in federated learning, such as federated averaging, differential privacy, and secure aggregation, thus ensuring the protection of sensitive healthcare data
- Presents use cases and case studies that demonstrate the practical applications of federated learning in virtual healthcare settings
- Illustrates its impact on patient care, medical research, and healthcare innovation
- Contains contributions from leading experts in the fields of healthcare, artificial intelligence, and virtual reality, providing valuable insights and perspectives on the intersection of federated learning and metaverse healthcare
- Virtual Clinics and Hospitals: Transforming Healthcare in the Digital Age
- Navigating the Virtual Frontier: Challenges and Solutions for Ethical Federated Learning in Metaverse Healthcare in India
- Review of Deep Reinforcement Learning and Artificial Neural Networks in Healthcare Metaverse
- Virtual Clinical and Hospital in India
- Introduction to Metaverse Healthcare
- Telemedicine in the Metaverse
- Virtual Clinics and Healthcare Ecosystem
- A Collaborative Federated Learning Approach for Healthcare Informatics: Solutions & Challenges
- Privacy and Profit: The Dual Benefits of Federated Learning in Metaverse Healthcare Systems
- The Metaverse Shift: Adapting to Decentralized Computing in Federated Learning for Healthcare
- Federated Learning for Predictive Modeling of Disease Prevention in the Metaverse
- Integrating Real-Time Data with Predictive Models for Early Disease Detection in Metaverse Healthcare
- Augmented Reality Wearables for Health Monitoring in the Metaverse: Enhancing Patient Engagement and Clinical Outcomes
- Adapting to Decentralization: The Evolution of Computing Paradigms and Machine Learning in Federated Learning
- Privacy-Preserving Secure Computation: Bridging Traditional Healthcare and Metaverse Telemedicine
- Breaking the Boundaries: Optimizing Healthcare in the Metaverse through Federated Learning
- Edition: 1
- Latest edition
- Published: September 15, 2025
- Language: English
SM
Shubham Mahajan
Dr. Shubham Mahajan is a respected academic and researcher, and a member of well-known professional organizations like IEEE, ACM, and IAENG. He completed his B.Tech. from Baba Ghulam Shah Badshah University, his M.Tech. from Chandigarh University, and his Ph.D. from Shri Mata Vaishno Devi University (SMVDU), Katra. He is currently working as an Assistant Professor at Amity University, Haryana.
Dr. Mahajan has made strong contributions in the fields of artificial intelligence and image processing. He holds nineteen Indian patents, along with one Australian and one German patent. He has published more than 103 research papers in national and international journals and conferences, including 55 in SCIE journals and 48 indexed by Scopus. He has also edited 10 Scopus-indexed books. His research areas include image processing, video compression, image segmentation, fuzzy entropy, nature-inspired algorithms, optimization, data mining, machine learning, robotics, and optical communication. He won the Best Research Paper Award at ICRIC 2019 (Springer LNEE series).
Throughout his career, Dr. Mahajan has received many awards, such as the Best Student Award (2019), IEEE Region-10 Travel Grant (2019), 2nd runner-up in IEEE RAS Hackathon (2019, Bangladesh), IEEE SERCF (2020), Emerging Scientist Award (2021), and the IEEE SPS Professional Development Grant (2021). He also received the Excellence in Research Award in 2023.
Beyond research, Dr. Mahajan has contributed to the academic community in many ways. He has worked as a Campus Ambassador for IEEE at top institutions like IIT Bombay, IIT Kanpur, IIT Varanasi, and IIT Delhi, as well as for several multinational companies. He is active in promoting international research collaborations and serves on Technical Program Committees and Editorial Boards of various international conferences and journals.
JM
Jyotir Moy Chatterjee
Jyotir Moy Chatterjee is currently an Assistant Professor in Department of Computer Science and Engineering at Graphic Era (Deemed to be University), in Dehradun, India. He also serves as a Visiting Faculty member in Information Technology at Lord Buddha Education Foundation, which is affiliated with the Asia Pacific University of Technology & Innovation in Kathmandu, Nepal. His research interests focus on advancements in Machine Learning and Deep Learning.