Quantum Innovations at the Nexus of Biomedical Intelligence

ISBN-13: 9798369314791 / Angielski / Twarda / 2023 / 287 str.

Vishal Dutt, Abhishek Kumar, Sachin Ahuja

Opis

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.