Quantum Innovations at the Nexus of Biomedical Intelligence
IGI Global (Verlag)
979-8-3693-1479-1 (ISBN)
The convergence of quantum technologies and biomedical intelligence is a frontier of boundless potential. The quantum advancements revolutionize disease detection, personalized medicine, and health monitoring frameworks while confronting the pressing challenge of accountability in machine learning systems within the biomedical domain. How do quantum innovations at the nexus of biomedical intelligence redefine biomedical research and healthcare, addressing critical inquiries such as the transformative potential of quantum computing, machine learning, and sensing technologies? Quantum Innovations at the Nexus of Biomedical Intelligence explores the intricate synergy between quantum mechanics and the biomedical domain. This book elucidates the profound implications and applications arising from the fusion of quantum computing, artificial intelligence, and biomedical sciences. This book introduces biomedical engineering, setting the stage for a deep dive into the transformative role of quantum computing and artificial intelligence. As the narrative unfolds, the text navigates the reader through the uncharted territories of quantum-enhanced machine learning, quantum sensing and their profound impact on diagnostics, personalized medicine, and health monitoring frameworks. The intersection of quantum computing and AI in medical advancements and cybersecurity is illuminated, offering a comprehensive understanding of the multifaceted applications of these cutting-edge technologies. The book is a collaborative effort, allowing luminaries from quantum computing, artificial intelligence, biomedicine, bioengineering, molecular biology, and healthcare to share their expertise. Readers will find in-depth discussions on topics ranging from the detection of cardiomegaly using quantum-enhanced deep convolutional neural networks to applying quantum machine learning algorithms in predicting outbreaks of diseases such as dengue fever. The challenges of accountability in machine learning systems are explored beyond mere technical obstacles, establishing a critical dialogue on responsible innovation in this burgeoning field. This book is ideal for researchers, scientists, academics, and professionals across diverse disciplines in quantum innovations within biomedical intelligence. Graduate students and postdoctoral researchers will discover a valuable resource that expands their knowledge and unveils new avenues for research and future investigations.
Vishal Dutt, a Principal Research Consultant at AVN Innovations, is a renowned freelance trainer in Android development with over seven years of academic teaching experience. He has authored over 50 publications in prestigious national and international journals, SCI and Scopus journals, conferences, and book chapters. Vishal has contributed editorially to two books with Wiley and Eureka publications and is working on three additional publications with Wiley. A sought-after keynote speaker, he has significantly contributed to workshops and webinars across India. He provides peer review services for elite publishers like Elsevier, Springer, and IEEE Access and was a program committee member and reviewer for ICCIPS 2021. His research focuses on Data Science, Data Mining, Machine Learning, Deep Learning, and Remote Sensing, with extensive experience in data analytics using Rapid Miner, Tableau, and WEKA, as well as over six years in Java and Android development. Anupam Baliyan is an Additional Director (Engineering) at Chandigarh University, Ghraun, Mohali, Punjab (India). He has more than 24 Years of Experience in Academics. He is an MCA from Gurukul Kangari University, an M.Tech (CSE), and P.hd (CSE) from Banasthali University. He published over 80 Research papers in various International journals indexed in Scopus and SCI. He is a Lifetime member of CSI and ISTE. He has chaired many sessions at International Conferences across India. He also published some Authored and Edited books with reputed Publishers. He is also the assistant Editor of some Journals that are Scopus-indexed. His Research Area is Algorithms, Machine learning, Wireless networks and AI. Narayan Vyas, a Principal Research Consultant at AVN Innovations, is a distinguished academician and expert in advanced technologies. He cleared the NTA UGC NET & JRF in Computer Science & Applications on his first attempt, underscoring his academic excellence. With profound knowledge of the Internet of Things (IoT) and Mobile Application Development, he has trained students worldwide and authored numerous articles in reputable national and international Scopus-indexed conferences and journals. His research spans IoT, Remote Sensing, Machine Learning, Deep Learning, and Computer Vision. A sought-after keynote speaker, Mr. Vyas collaborates with leading publishers like Wiley, IGI Global, and DeGruyter on various book projects, marking his significant contribution to the field.
| Erscheinungsdatum | 18.01.2024 |
|---|---|
| Verlagsort | Hershey |
| Sprache | englisch |
| Maße | 216 x 279 mm |
| Gewicht | 272 g |
| Themenwelt | Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie |
| Technik ► Medizintechnik | |
| ISBN-13 | 979-8-3693-1479-1 / 9798369314791 |
| Zustand | Neuware |
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