Federated Learning in Metaverse Healthcare
Personalized Medicine and Wellness
- 1st Edition - September 15, 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
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. Paras Chawla is an accomplished academic and researcher with over 24 years of experience across academia, research, industry, and administration. He holds a B.Tech. (Honors) and M.Tech. from Kurukshetra University and NIT Kurukshetra, and a Ph.D. from Thapar University, Patiala. Additionally, he completed a year-long Post Graduate Program in AI and ML from Purdue University, USA, along with a master's course from IBM. He is recently completed Post Doc Fellowship (PDF) in computer vision from Lincoln University, Malaysia. Currently, he serves as Professor & Director at Amity School of Engineering & Technology and Amity Institute of Information Technology, Amity University Haryana. His leadership journey includes roles like Zonal Head for IT Academics, Associate Dean, and Head of Departments, steering successful national and international accreditations. Dr. Chawla has guided 11 Ph.D. theses, 25 M.Tech. dissertations, and over 55 B.Tech. projects across various domains. His research expertise spans reconfigurable antennas, AI, machine learning, data science, 5G communications, and healthcare applications. He has published over 120 papers, including 92 SCI/Scopus indexed articles, and holds 24 patents, 15 of which have been granted. Notable achievements include receiving the prestigious Coventor Scholarship Award from MANCEF, New Mexico, and the Tenderfoot Award from NASA for his work in CanSat competitions. His innovations extend to AI and computer vision in transport and service robots, 3D-printed humanoid robots, and AI-driven educational methods.
Dr. Chawla’s visionary leadership and groundbreaking work continue to make significant contributions to both academic and technological advancements.
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.