Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers

The integration of generative AI and deep learning techniques for Alzheimer's disease detection significantly impacts the research community by advancing diagnostic accuracy and providing a comprehensive understanding of the disease. By combining multiple data modalities, including imaging, genetics, and clinical data, researchers can improve diagnostic precision and develop personalized treatment strategies. Generative AI facilitates efficient data utilization through dataset augmentation, fostering innovation and collaboration across interdisciplinary fields. These methodologies forward the exploration of new diagnostic tools while expediting their application in clinical practice, benefiting patients through early detection and intervention. The incorporation of generative AI may enhance research capabilities, promote collaboration, and improve Alzheimer's disease management and patient outcomes. Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers explores the integration of deep generative models in disease diagnosis, biomarking, and prediction. It examines the use of tools like data analysis, natural language processing, and machine learning for effective Alzheimer's research. This book covers topics such as data analysis, biomedicine, and machine learning, and is a useful resource for computer engineers, biologists, scientists, medical professionals, healthcare workers, academicians, and researchers.

Dr. Abhishek Kumar is currently working as an Assistant director /Associate professor in the Computer science & Engineering Department in Chandigarh University, Punjab, India. He holds a Doctorate in computer science from University of Madras and is a Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, and Ciudad Real Spain. He has done MTech in Computer Sci. & Engineering and B.Tech in I.T. from, Rajasthan Technical University, Kota India. He has total Academic teaching experience of more than 13 years along with 2 years teaching assistantship. He has more than 170 publications in reputed, peer reviewed National and International Journals, books & Conferences He has guided more than 30 MTech Projects at national and International level and 4 PhD Scholar Completed their Degree under his Guidance. His research area includes- Artificial intelligence, Renewable Energy Image processing, Computer Vision, Data Mining, Machine Learning. He has been Session chair and keynote Speaker of many International conferences, webinars in India and Abroad. He has been the reviewer for IEEE and Inderscience Journal. He has authored/Co-Authored 7 books published internationally and edited 51 books (Published & ongoing with IET, Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Gruyter and CRC etc. He is serving as Series Editor for four books series, Quantum Computing with Degruyter Germany, Intelligent Energy System with Elsevier, & Mathematical Methods in the Digital Age with Degruyter Germany, AI for environment Sustainability with Degruyter Germany. S.Rakesh Kumar received his Ph.D (Information and Communication Engineering) from Anna University Chennai in the year 2021. He received his M.E. degree in Computer Science and Engineering and B. Tech. degree in Computer Science and Engineering from Anna University Chennai. Currently, he is working as an Assistant Professor in the Department of Computing Science and Engineering at GITAM (Deemed to be University). He has published reputed 40+ (SCI journals, Scopus indexed journals), and also presented paper in National/International Conferences, published book chapters in CRC Press, IGI Global, Springer, Elsevier, and also have edited 8 books in Wiley, springer, Elsevier, Cambridge press. He has six Indian patents and 1 Australian Patent. His research interests include Bigdata Analytics, IoT and networks and cloud computing. He is an active reviewer in Bentham Science Journal, Mobile Networks and Applications, Expert systems with applications, Sustainable Computing: Informatics and Systems, IEEE Internet of Things, Expert systems. |Gayathri Nagasubramanian - Editor|Dr. N. Gayathri received her Ph.D (Information and Communication Engineering) from Anna University Chennai. she received her M.E. degree in Computer Science and Engineering, B. Tech. degree in Information Technology from Thiagarajar College of Engineering. She is currently