Generative AI in Neurodegenerative Disorders

This book delves into the transformative power of AI in the realm of neurodegenerative diseases,covering topics such as ALS, Huntington’s, Parkinson’s, and Alzheimer’s. Generative AIprovides new opportunities for early diagnosis, precise therapy, and individualized rehabilitation,which are crucial as these conditions remain major obstacles for healthcare providersand researchers.Researchers, physicians, AI developers, and healthcare professionals will find this bookan invaluable resource for understanding how AI is influencing the development of treatmentsfor neurodegenerative diseases. It describes important obstacles and future directions whileproviding insights into the newest breakthroughs, thus bridging the gap between technologyand practical clinical applications. Anyone involved in neurodegenerative healthcare, fromscientists conducting AI-driven medical research to physicians seeking to incorporate AI intopatient care or AI professionals investigating new healthcare applications, will find the informationand insights they need in this comprehensive book.Predictive analytics, biomarker identification, and drug discovery are being transformedby AI-driven models, such as deep neural networks, generative adversarial networks (GANs),and variational autoencoders (VAEs). This book offers a comprehensive examination of thesedevelopments. Robots, wearable sensors, and cognitive therapy platforms are some of theAI-enhanced rehabilitation tools covered, as are AI-integrated cutting-edge technologies likefMRI and MRI, gene-editing methods like CRISPR, and more.In addition to discussing recent technical developments, this book takes a close look atthe data privacy, ethics, and regulatory issues that arise when using AI to study neurodegenerativedisorders. Issues like algorithmic bias, model explainability, and fair AI-driven healthcareare thoroughly investigated in light of the growing usage of AI models in clinical decision-making,mental health applications, and cognitive rehabilitation.

Anindya Nag obtained an M.Sc. in Computer Science and Engineering from Khulna University in Khulna, Bangladesh, and a B.Tech. in Computer Science and Engineering from Adamas University in Kolkata, India. He is currently a Lecturer in the Department of Computer Science and Engineering at the Northern University of Business and Technology in Khulna, Bangladesh. His research focuses on health informatics, medical Internet of Things, neuroscience, and machine learning. He serves as a reviewer for numerous prestigious journals and international conferences. He has authored and co-authored about 42 publications, including journal articles, conference papers, and book chapters, and has co-edited five books.Md. Mehedi Hassan is a dedicated and accomplished researcher. He completed his Master of Science degree in computer science and engineering at Khulna University, Khulna, Bangladesh in 2024 and completed his B.Sc. degree in Computer Science and Engineering from North Western University, Khulna in 2022, where he excelled in his studies and demonstrated a strong aptitude for research. As the founder and CEO of The Virtual BD IT Firm and VRD Research Laboratory, Bangladesh, Mehedi has established himself as a highly respected leader in the fields of biomedical engineering, data science, and expert systems. He is a member of the prestigious IEE. Mehedi’s research interests are broad and include important human diseases, such as oncology, cancer, and hepatitis, as well as human behavior analysis and mental health. He is highly skilled in association rule mining, predictive analysis, machine learning, and data analysis, with a particular focus on the biomedical sciences. Mehedi has published 74 articles in various international top journals and conferences and has published a book titled, ""Federated Deep Learning for Healthcare: A Practical Guide with Challenges and Opportunities"". His work has been well-received by the research community and has significantly contributed to the advancement of knowledge in his field. Additionally, he serves as an academic editor and a reviewer for 56 prestigious journals.Dr. Asif Karim is a Research Active Lecturer at Charles Darwin University, Australia. His research interests include applying machine intelligence to fields such as smart contracts and health informatics. Besides being an active researcher, He has considerable industry experience in IT, primarily in software engineering. In addition, He is also involved in active teaching to undergraduate and postgraduate students in a range of different computer science related courses.Dr. C Kishor Kumar Reddy is currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India and has research and teaching experience of more than 10 years. He has published more than 50 research papers in national and international conferences, book chapters, and journals indexed by Scopus and oth