Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers

Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers

Pages: 300
DOI: 10.4018/979-8-3693-6442-0
ISBN13: 9798369364420|ISBN13 Softcover: 9798369364437|EISBN13: 9798369364444
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Description & Coverage
Description:

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. Furthermore, generative AI facilitates efficient data utilization through dataset augmentation, fostering innovation and collaboration across interdisciplinary fields. These methodologies not only drive forward the exploration of new diagnostic tools but also expedite their translation into clinical practice, ultimately benefiting patients through earlier detection and intervention. Overall, the incorporation of generative AI enhances research capabilities, promotes collaboration, and holds promise for improving Alzheimer's disease management and patient outcomes.

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Editor/Author Biographies

Ph.D- Information and Communication Engineering, Anna

University, Chennai, India. M. E- Computer Science & Engineering. Thiagarajar College of Engineering, Madurai, Tamilnadu, India.

B. E- Computer Science & Engineering., Anna

a

University, Chennai, India.

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 working as an Assistant Professor in Department of Computing Science and Engineering at GITAM (Deemed to be University). She has published reputed 45 (SCI journals
Srivel Ravi received B.E., Degree in Electronics and Communication Engineering from Adhiparasakthi Engineering College, Melmaruvathur, Tamil Nadu. M.E. Degree in Embedded systems from Anna University, Chennai. He is working as a Assistant professor in the department of Electrical and electronics Engineering, Adhiparasakthi Engineering college, Melmaruvathur. He worked as Associate Professor Department of Electronics and Communication Engineering, in Aurora scientific Technological, Research Academy Hyderabad for 4 years in Telagana, he has 13 years of experience including research and academic His research interests are in the field of RFID, wireless networks, VLSI Design and embedded systems, computer applications in industry, industrial remote monitoring and control using GSM, GPRS, MMS networks. he has published 10 research papers at the National level conference, 11 research papers in an international conference, 7 research papers in a national journal and 5 research papers International Journal, He has written a book called Television & video Engineering Published by ANE books P.v.t New Delhi, ISBN 978-93- 8015-669- 9, November 2010. His publication areas are in reputed academic and policy-oriented journals. I have good knowledge of various Research software SPSS, AMOS, STATA, Verilog HDL, MATLAB, PSpice, Circuit Maker, EWB, DSCH, Microwind 3.1 and Smart PLS. He is a Life Member of ISTE.

Teaching and conducting regular students’ lectures

o Obtained 100% result in various subjects taught such as Computer Networks, Operating systems, Object Oriented Programming, Principles of compiler Design, Network Security etc

 Assisting students in software development

 Conducting seminars/tutorials/tests/assignments and evaluating students

 Guided 30 UG and 10 PG projects and received IEDC and Tamilnadu state council awards

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