Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare

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Chinmay Chakraborty, PhD (Associate Professor and Head, Centre of Innovation & Research (COIR) in Medical Technology, KIIT Deemed to be University, India) Subhendu Kumar Pani (Department of Computer Science and Engineering, Krupajal Engineering College, Bhubaneswar, Odisha, India)

Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare

Name: Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare
Price: 363.95 AUD
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ISBN: 9780443403798

Chinmay Chakraborty, PhD (Associate Professor and Head, Centre of Innovation & Research (COIR) in Medical Technology, KIIT Deemed to be University, India), Subhendu Kumar Pani (Department of Computer Science and Engineering, Krupajal Engineering College, Bhubaneswar, Odisha, India), Sayonara Barbosa, PhD (Professor, University of Cincinnati, USA)

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Academic Press Inc
01 March 2026

Biotechnology

Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare

Edited by: Chinmay Chakraborty PhD (Associate Professor and Head Centre of Innovation & Research (COIR) in Medical Technology KIIT Deemed to be University India), Subhendu Kumar Pani (Department of Computer Science and Engineering, Krupajal Engineering College, Bhubaneswar, Odisha, India), Sayonara Barbosa, PhD (Professor, University of Cincinnati, USA)
Imprint: Academic Press Inc
Country of Publication: United States
Dimensions: Height: 229mm, Width: 152mm,
Weight: 450g
ISBN: 9780443403798
ISBN 10: 0443403791
Pages: 448
Publication Date: 01 March 2026
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active

1. Cognitive adaptation in biomedical informatics through meta learning strategies 2. Exploring neural networks in cognitive approach to biomedical data analysis and interpretation 3. Meta learning frameworks for precision medicine research 4. Harnessing meta learning for robust health solutions 5. Cognitive meta learning techniques for uncovering hidden patterns in biomedical information 6. Cognitive dynamics in drug discovery for accelerated biomedical breakthroughs 7. Integrating meta learning into biomedical diagnostics 8. Biomedical imaging through a cognitive and meta learning techniques 9. Meta reinforcement learning in health informatics 10. Cognitive internet of medical things 11. Meta cognitive neural networks based AI models for disease prediction 12. Cognitive meta learning based AI models for improved detection of neuropathology 13. Cognitive meta learning based AI models for neuro imaging 14. Cognitive meta learning based AI models for multimodal signals 15. Cognitive meta learning based AI models for clinical risk prediction with EHR

Chinmay Chakraborty is an Associate Professor and Head, Centre of Innovation & Research (COIR) in Medical Technology, KIIT Deemed to be University, India. His main research interests include the Internet of Medical Things, Medical technology, m-Health/e-health, and AI-ML. He is an Editorial Board Member of various different journals and conferences. Subhendu Kumar Pani received his Ph.D. from Utkal University Odisha, India. He has more than 16 years of teaching and research experience. His research interests include data mining, big data analysis, web data analytics, fuzzy decision making and computational intelligence. He is a fellow in SSARSC and life member in IE, ISTE, ISCA, OBA.OMS, SMIACSIT, SMUACEE, CSI. Dr. Sayonara F. F. Barbosa is a Professor at the University of Cincinnati, USA. Professor Barbosa is a member of the Editorial Board of the International Journal of Medica Informatics and the Journal of Nursing Scholarship. From 2016 to 2020, at the International Medical Informatics Association, she was Vice-Chair of Nursing Informatics Special Interest Group, Brazil Representative. Her experience includes nursing in intensive care and information technology in healthcare, health information technology, healthcare technology, patient safety and donation of organs and transplants

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Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare

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