Jyotir Moy Chatterjee is an Assistant Professor in the Department of Computer Science and Engineering, Graphic Era University, Dehradun, India, and an Assistant Professor in the Department of Information Technology at the Lord Buddha Education Foundation, affiliated with the Asia Pacific University of Technology and Innovation, Malaysia. He has more than 100 publications to his credit, including book chapters and articles in international journals and conferences. He has edited multiple volumes. His research interests focus on machine learning and deep learning.

• Preface xxiiiAcknowledgement xxviiPart I: Foundations and Emerging Paradigms in Neuromorphic Healthcare 11 Neuromorphic Computing and Multidisciplinary Healthcare Teams 3Archana Chhabra, Harpreet Kaur and Deepika Ghai2 Neuromorphic AI in Medical Diagnostics 31S. Mohanraj and R. Sujatha3 Addressing Scalability and Reliability in Neuromorphic Healthcare 59Manas Kumar Yogi, K. V. V. Subba Rao, Shanmukha Mahathi Chinta and S. Soha Tabassum4 A Comprehensive Review of Brain-Computer Interfaces: Current Research Trends in Person-Centric Healthcare and Ambient Assisted Living 81P. Nagaraj, Josephine Selle Jeyanathan, A. Lakshmi, V. Muneeswaran and K. Muthamil Sudar5 Neuromorphic Systems for BCI and Neuroprosthetics 105T.S. Suganya and Midhun Ramesh6 Neuromorphic Computing for Wearable Health Devices 131Wasswa Shafik7 Neuro-Inspired Advances in Imaging and Diagnostics 159Ajay Sharma and Arun Malik8 Harnessing Brain-Inspired AI for Healthcare's Digital Future 199Bittoo Kumar SharmaPart II: Ethical, Behavioral, and Application- Specific Innovations 2459 Ethical and Legal Challenges in Using Neuromorphic AI for Diagnosing and Treating Childhood Trauma 247Navonita Mallick, Shashwata Sahu and Hiranmaya Nanda10 Neuromorphic Computing in Sports: New Age Technology in Transforming Athlete Performance and Rehabilitation 271Amitava Pal, Rajkumar M. and Kavita Mathad11 An Intelligent System for Early Mental Health Detection: Integrating Wearables, Social Media, and Neuromorphic 295Richa Mathur and Rakesh Roshan12 Neuromorphic AI-Driven Personalization and Predictive Analytics in Digital Health: A Marketing Perspective on Patient Engagement Metrics and Outcomes 317Rahul Chauhan and Bhoomi Chauhan13 Building Neuromorphic Systems for Medicine 337Devanshi Srivastava and Adarsh Kumar Arya14 Intelligent Neuromorphic Frameworks for Neural Interfaces and Prosthetic Control 365Aditya Dayal Tyagi, Himani Tyagi, Setu Garg and Vivek TomarPart III: Advanced Models, Diagnostics, and Future Outlook 39715 Neuromorphic Innovations in Medical Diagnosis and Imaging 399Himani Tyagi, Aditya Dayal Tyagi, Kimmi Verma and Ravi Prakash Chaturvedi16 AI in Personalized Medicine Using Neuromorphic Systems 429Abhishek Choubey and Shruti Bhargava Choubey17 An Improved Ensemble Classifier Model to Combat the Escalating Threat of Viral Infections 465Sirisha Potluri, Shalini Ramanathan, Vikas B., Puranam Revanth Kumar, K. Manasa Mrunaalini and K. Dheeptha18 Advanced Ensemble-Based Machine Learning Framework for Brain-Inspired AI and Neuromorphic Computing 477Pinakshi Panda, Sukant Kishoro Bisoy and Soumya Sahoo19 DeepSpiker-DiaNet: A Neuromorphic Framework for Interpretable and Energy-Efficient Disease Prediction 497Diviya Prabha V. and Rathipriya R.20 Neuromorphic Innovations in Medical Imaging and Diagnostics: Bridging Biological Intelligence and Computational Advances 513Kolla Bhanu Prakash and V. Pradeep Kumar21 The Future of Neuromorphic Computing in Health Care 539Ajay Sharma and Arun MalikReferences 566Index 575

Jyotir Moy Chatterjee is an Assistant Professor in the Department of Computer Science and Engineering, Graphic Era University, Dehradun, India, and an Assistant Professor in the Department of Information Technology at the Lord Buddha Education Foundation, affiliated with the Asia Pacific University of Technology and Innovation, Malaysia. He has more than 100 publications to his credit, including book chapters and articles in international journals and conferences. He has edited multiple volumes. His research interests focus on machine learning and deep learning.

• Preface xxiiiAcknowledgement xxviiPart I: Foundations and Emerging Paradigms in Neuromorphic Healthcare 11 Neuromorphic Computing and Multidisciplinary Healthcare Teams 3Archana Chhabra, Harpreet Kaur and Deepika Ghai2 Neuromorphic AI in Medical Diagnostics 31S. Mohanraj and R. Sujatha3 Addressing Scalability and Reliability in Neuromorphic Healthcare 59Manas Kumar Yogi, K. V. V. Subba Rao, Shanmukha Mahathi Chinta and S. Soha Tabassum4 A Comprehensive Review of Brain-Computer Interfaces: Current Research Trends in Person-Centric Healthcare and Ambient Assisted Living 81P. Nagaraj, Josephine Selle Jeyanathan, A. Lakshmi, V. Muneeswaran and K. Muthamil Sudar5 Neuromorphic Systems for BCI and Neuroprosthetics 105T.S. Suganya and Midhun Ramesh6 Neuromorphic Computing for Wearable Health Devices 131Wasswa Shafik7 Neuro-Inspired Advances in Imaging and Diagnostics 159Ajay Sharma and Arun Malik8 Harnessing Brain-Inspired AI for Healthcare's Digital Future 199Bittoo Kumar SharmaPart II: Ethical, Behavioral, and Application- Specific Innovations 2459 Ethical and Legal Challenges in Using Neuromorphic AI for Diagnosing and Treating Childhood Trauma 247Navonita Mallick, Shashwata Sahu and Hiranmaya Nanda10 Neuromorphic Computing in Sports: New Age Technology in Transforming Athlete Performance and Rehabilitation 271Amitava Pal, Rajkumar M. and Kavita Mathad11 An Intelligent System for Early Mental Health Detection: Integrating Wearables, Social Media, and Neuromorphic 295Richa Mathur and Rakesh Roshan12 Neuromorphic AI-Driven Personalization and Predictive Analytics in Digital Health: A Marketing Perspective on Patient Engagement Metrics and Outcomes 317Rahul Chauhan and Bhoomi Chauhan13 Building Neuromorphic Systems for Medicine 337Devanshi Srivastava and Adarsh Kumar Arya14 Intelligent Neuromorphic Frameworks for Neural Interfaces and Prosthetic Control 365Aditya Dayal Tyagi, Himani Tyagi, Setu Garg and Vivek TomarPart III: Advanced Models, Diagnostics, and Future Outlook 39715 Neuromorphic Innovations in Medical Diagnosis and Imaging 399Himani Tyagi, Aditya Dayal Tyagi, Kimmi Verma and Ravi Prakash Chaturvedi16 AI in Personalized Medicine Using Neuromorphic Systems 429Abhishek Choubey and Shruti Bhargava Choubey17 An Improved Ensemble Classifier Model to Combat the Escalating Threat of Viral Infections 465Sirisha Potluri, Shalini Ramanathan, Vikas B., Puranam Revanth Kumar, K. Manasa Mrunaalini and K. Dheeptha18 Advanced Ensemble-Based Machine Learning Framework for Brain-Inspired AI and Neuromorphic Computing 477Pinakshi Panda, Sukant Kishoro Bisoy and Soumya Sahoo19 DeepSpiker-DiaNet: A Neuromorphic Framework for Interpretable and Energy-Efficient Disease Prediction 497Diviya Prabha V. and Rathipriya R.20 Neuromorphic Innovations in Medical Imaging and Diagnostics: Bridging Biological Intelligence and Computational Advances 513Kolla Bhanu Prakash and V. Pradeep Kumar21 The Future of Neuromorphic Computing in Health Care 539Ajay Sharma and Arun MalikReferences 566Index 575

Jyotir Moy Chatterjee is an Assistant Professor in the Department of Computer Science and Engineering, Graphic Era University, Dehradun, India, and an Assistant Professor in the Department of Information Technology at the Lord Buddha Education Foundation, affiliated with the Asia Pacific University of Technology and Innovation, Malaysia. He has more than 100 publications to his credit, including book chapters and articles in international journals and conferences. He has edited multiple volumes. His research interests focus on machine learning and deep learning.

• Preface xxiiiAcknowledgement xxviiPart I: Foundations and Emerging Paradigms in Neuromorphic Healthcare 11 Neuromorphic Computing and Multidisciplinary Healthcare Teams 3Archana Chhabra, Harpreet Kaur and Deepika Ghai2 Neuromorphic AI in Medical Diagnostics 31S. Mohanraj and R. Sujatha3 Addressing Scalability and Reliability in Neuromorphic Healthcare 59Manas Kumar Yogi, K. V. V. Subba Rao, Shanmukha Mahathi Chinta and S. Soha Tabassum4 A Comprehensive Review of Brain-Computer Interfaces: Current Research Trends in Person-Centric Healthcare and Ambient Assisted Living 81P. Nagaraj, Josephine Selle Jeyanathan, A. Lakshmi, V. Muneeswaran and K. Muthamil Sudar5 Neuromorphic Systems for BCI and Neuroprosthetics 105T.S. Suganya and Midhun Ramesh6 Neuromorphic Computing for Wearable Health Devices 131Wasswa Shafik7 Neuro-Inspired Advances in Imaging and Diagnostics 159Ajay Sharma and Arun Malik8 Harnessing Brain-Inspired AI for Healthcare's Digital Future 199Bittoo Kumar SharmaPart II: Ethical, Behavioral, and Application- Specific Innovations 2459 Ethical and Legal Challenges in Using Neuromorphic AI for Diagnosing and Treating Childhood Trauma 247Navonita Mallick, Shashwata Sahu and Hiranmaya Nanda10 Neuromorphic Computing in Sports: New Age Technology in Transforming Athlete Performance and Rehabilitation 271Amitava Pal, Rajkumar M. and Kavita Mathad11 An Intelligent System for Early Mental Health Detection: Integrating Wearables, Social Media, and Neuromorphic 295Richa Mathur and Rakesh Roshan12 Neuromorphic AI-Driven Personalization and Predictive Analytics in Digital Health: A Marketing Perspective on Patient Engagement Metrics and Outcomes 317Rahul Chauhan and Bhoomi Chauhan13 Building Neuromorphic Systems for Medicine 337Devanshi Srivastava and Adarsh Kumar Arya14 Intelligent Neuromorphic Frameworks for Neural Interfaces and Prosthetic Control 365Aditya Dayal Tyagi, Himani Tyagi, Setu Garg and Vivek TomarPart III: Advanced Models, Diagnostics, and Future Outlook 39715 Neuromorphic Innovations in Medical Diagnosis and Imaging 399Himani Tyagi, Aditya Dayal Tyagi, Kimmi Verma and Ravi Prakash Chaturvedi16 AI in Personalized Medicine Using Neuromorphic Systems 429Abhishek Choubey and Shruti Bhargava Choubey17 An Improved Ensemble Classifier Model to Combat the Escalating Threat of Viral Infections 465Sirisha Potluri, Shalini Ramanathan, Vikas B., Puranam Revanth Kumar, K. Manasa Mrunaalini and K. Dheeptha18 Advanced Ensemble-Based Machine Learning Framework for Brain-Inspired AI and Neuromorphic Computing 477Pinakshi Panda, Sukant Kishoro Bisoy and Soumya Sahoo19 DeepSpiker-DiaNet: A Neuromorphic Framework for Interpretable and Energy-Efficient Disease Prediction 497Diviya Prabha V. and Rathipriya R.20 Neuromorphic Innovations in Medical Imaging and Diagnostics: Bridging Biological Intelligence and Computational Advances 513Kolla Bhanu Prakash and V. Pradeep Kumar21 The Future of Neuromorphic Computing in Health Care 539Ajay Sharma and Arun MalikReferences 566Index 575