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.Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana, India. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.

• Part 1: AI and Federated Learning Foundations in Healthcare1. Introduction to the Convergence of Metaverse, AI, and Federated Learning in Healthcare2. Exploring the Potential of Deep Learning for Transcription Factor Binding in Deoxyribose Nucleic Acid3. Predictive Modeling of Alzheimer's Disease using MRI Images & Machine Learning Algorithms4. Heart Disease Prediction using RBA: A Weighted Rivalry-Based Ensemble Learning Approach5. Federated Learning and Machine Learning for the Detection of Heart Diseases6. Predictive Modelling for Disease Prevention7. A Resilient Federated Learning-Based Cybersecurity Framework for Healthcare SystemsPart 2: Metaverse and Augmented Reality in Healthcare8. ARFIT: Redefining Fitness through Immersive Augmented Reality Experiences9. Metasports in the Metaverse Era: A New Frontier for Athlete Performance and Health10. Augmented Reality for Pediatric Rehabilitation: Legal Considerations for Disabled Children in India11. Metaverse-Enabled Digital Twins: Building Intelligent and Ethical Healthcare SystemsPart 3: Legal, Ethical, and Cybersecurity Challenges12. A Critical Evaluation of Blockchain Integration in Smart Healthcare System13. Legal Perspectives on Cybersecurity for Digital Health Platforms Serving Disabled Children in India14. Mitigating Bias in AI-Driven Burnout Risk Predictions for Optimal Staff Scheduling in HealthcarePart 4: Strategic and Emerging Trends15. Improving Cardiac MRI Analysis through Real-time Object Detection with YOLOv816. Digital Twin-Driven Cancer Survival Prediction: Machine Learning and EHR Integration for Smart Hospitals17. ChatGPT in Medicine: Partnering with Doctors for Better Healthcare18. Artificial Intelligence Based Medical Tourism in 2024 and Beyond: Emerging Trends, Challenges, and Strategic Imperatives

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.Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana, India. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.

• Part 1: AI and Federated Learning Foundations in Healthcare1. Introduction to the Convergence of Metaverse, AI, and Federated Learning in Healthcare2. Exploring the Potential of Deep Learning for Transcription Factor Binding in Deoxyribose Nucleic Acid3. Predictive Modeling of Alzheimer's Disease using MRI Images & Machine Learning Algorithms4. Heart Disease Prediction using RBA: A Weighted Rivalry-Based Ensemble Learning Approach5. Federated Learning and Machine Learning for the Detection of Heart Diseases6. Predictive Modelling for Disease Prevention7. A Resilient Federated Learning-Based Cybersecurity Framework for Healthcare SystemsPart 2: Metaverse and Augmented Reality in Healthcare8. ARFIT: Redefining Fitness through Immersive Augmented Reality Experiences9. Metasports in the Metaverse Era: A New Frontier for Athlete Performance and Health10. Augmented Reality for Pediatric Rehabilitation: Legal Considerations for Disabled Children in India11. Metaverse-Enabled Digital Twins: Building Intelligent and Ethical Healthcare SystemsPart 3: Legal, Ethical, and Cybersecurity Challenges12. A Critical Evaluation of Blockchain Integration in Smart Healthcare System13. Legal Perspectives on Cybersecurity for Digital Health Platforms Serving Disabled Children in India14. Mitigating Bias in AI-Driven Burnout Risk Predictions for Optimal Staff Scheduling in HealthcarePart 4: Strategic and Emerging Trends15. Improving Cardiac MRI Analysis through Real-time Object Detection with YOLOv816. Digital Twin-Driven Cancer Survival Prediction: Machine Learning and EHR Integration for Smart Hospitals17. ChatGPT in Medicine: Partnering with Doctors for Better Healthcare18. Artificial Intelligence Based Medical Tourism in 2024 and Beyond: Emerging Trends, Challenges, and Strategic Imperatives

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.Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana, India. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.

• Part 1: AI and Federated Learning Foundations in Healthcare1. Introduction to the Convergence of Metaverse, AI, and Federated Learning in Healthcare2. Exploring the Potential of Deep Learning for Transcription Factor Binding in Deoxyribose Nucleic Acid3. Predictive Modeling of Alzheimer's Disease using MRI Images & Machine Learning Algorithms4. Heart Disease Prediction using RBA: A Weighted Rivalry-Based Ensemble Learning Approach5. Federated Learning and Machine Learning for the Detection of Heart Diseases6. Predictive Modelling for Disease Prevention7. A Resilient Federated Learning-Based Cybersecurity Framework for Healthcare SystemsPart 2: Metaverse and Augmented Reality in Healthcare8. ARFIT: Redefining Fitness through Immersive Augmented Reality Experiences9. Metasports in the Metaverse Era: A New Frontier for Athlete Performance and Health10. Augmented Reality for Pediatric Rehabilitation: Legal Considerations for Disabled Children in India11. Metaverse-Enabled Digital Twins: Building Intelligent and Ethical Healthcare SystemsPart 3: Legal, Ethical, and Cybersecurity Challenges12. A Critical Evaluation of Blockchain Integration in Smart Healthcare System13. Legal Perspectives on Cybersecurity for Digital Health Platforms Serving Disabled Children in India14. Mitigating Bias in AI-Driven Burnout Risk Predictions for Optimal Staff Scheduling in HealthcarePart 4: Strategic and Emerging Trends15. Improving Cardiac MRI Analysis through Real-time Object Detection with YOLOv816. Digital Twin-Driven Cancer Survival Prediction: Machine Learning and EHR Integration for Smart Hospitals17. ChatGPT in Medicine: Partnering with Doctors for Better Healthcare18. Artificial Intelligence Based Medical Tourism in 2024 and Beyond: Emerging Trends, Challenges, and Strategic Imperatives