Innovations and Developments of Technologies in Medicine, Biology and Healthcare: Proceedings of the IEEE EMBS International Student Conference (ISC) (Advances in Intelligent Systems and Computing)
Step into the future of healthcare innovation with “Innovations and Developments of Technologies in Medicine, Biology and Healthcare”, part of the respected Advances in Intelligent Systems and Computing series and now available at Books Hub PK. This volume compiles the proceedings of the IEEE EMBS International Student Conference (ISC), showcasing pioneering research and emerging technologies in the interdisciplinary fields of medical engineering, biomedical sciences, healthcare IT, and intelligent systems.
This essential resource features a curated selection of peer-reviewed papers and presentations by young researchers, engineers, and scientists from around the world. Topics include machine learning in diagnostics, wearable health technologies, biomedical imaging, biosensors, telemedicine, and AI applications in clinical decision support, making it a cutting-edge reference for academics, innovators, and industry professionals alike.
Designed for researchers at the intersection of engineering, medicine, and computer science, this book highlights the latest trends and practical applications of intelligent systems and computational tools in healthcare and biology. Whether you’re working in healthcare data analytics, developing medical devices, or conducting biomedical research, this volume offers valuable insights into the technological transformation of the healthcare sector.
Key Features:
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Proceedings from the prestigious IEEE EMBS International Student Conference (ISC)
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Covers innovations in AI, medical devices, health informatics, and biosignal processing
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Highlights interdisciplinary collaborations between engineering, biology, and clinical practice
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Ideal for researchers, developers, PhD students, and healthcare technologists
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Part of Springer’s Advances in Intelligent Systems and Computing series
This book is perfect for academic libraries, postgraduate researchers, biomedical engineers, and professionals in medical innovation, as well as anyone interested in the future of AI in medicine, digital health, and computational biology.
