Innovations in Biomedical Engineering: Trends in Scientific Advances and Application addresses the burgeoning demand for a comprehensive resource that not only showcases the latest advancements in this dynamic field but also shows how these innovations can be effectively translated into real-world applications. In essence, the book acts as a bridge, connecting discoveries, research, and innovations in biomedical engineering to tangible, real-world applications.
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Table of Contents
1. Advancing Drug Delivery Systems Through Biomedical Engineering: Innovations and Future Directions2. Advancing Healthcare: Reinforcement Learning Applications for Personalized Healthcare
3. Advancements of IOT and Sensor Informatics in Wearable, Implantable, Mobile, and Remote Healthcare
4. Wearable Technology in Healthcare
5. Biomedical Sensors in Wearable Health Technologies
6. Biomedical Trends: Application on Plant-Based Polysaccharides
7. Comparative Study on Evolution of Imaging Techniques in Forensic Anthropology
8. Deep Reinforcement Learning in Healthcare and Biomedical Application
9. A Cognitive technique for human Monkeypox disease diagnosis and Prevention in Healthcare System
10. Neuro-engineering and Brain-Machine Interfaces
11. Pioneering Raman Spectroscopy for Precise Breast Cancer Diagnosis
12. RECENT ADVANCES IN FISH GENETICS AND BIOTECHNOLOGY
13. Role of quantum computing in accelerating drug discovery process
14. Quantum-Enhanced Deep Learning for Early Detection of Diabetic Retinopathy
15. Technological advancement in clinical Orthopaedics using additive manufacturing
16. Future Trends and Emerging Technologies in Biomedical Engineering
Authors
Shubham Mahajan Amity School of Engineering and Technology, Amity University Haryana., India.Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.
Amit Kant Pandit Shri Mata Vaishno Devi University, India. Dr. Amit Kant Pandit received his B.Tech and PhD degrees. He is currently working as an Associate Professor and at Shri Mata Vaishno Devi University (SMVDU), India. He has authored/co-authored more than 60 publications including peer-reviewed journals and conferences. He has two Indian and one Australian Patent to his credit. He is a Senior member of IEEE and MIR labs member and has 22 years of academic experience.
