Librería: Buchpark, Trebbin, Alemania
EUR 6,92
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 542 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
EUR 169,95
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Añadir al carritoGebunden. Condición: New.
Librería: Buchpark, Trebbin, Alemania
EUR 122,72
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 550 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 169,95
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Añadir al carritoBuch. Condición: Neu. Neuware - Machine Learning for Medical Applications - Volume I provides an in-depth look into the frontier of artificial intelligence in healthcare, bringing together contributions from leading researchers and innovators. This volume focuses on three critical areas: computational drug discovery, advanced bioimaging techniques, and the development of smart biomaterials for medical use. Readers will discover how machine learning is revolutionizing personalized medicine, improving diagnostic accuracy, and enabling the design of AI-driven biomedical sensors and therapeutic systems. With practical insights into algorithmic modeling, drug toxicity prediction, and materials screening, this book bridges the gap between data science and clinical applications. Ideal for professionals, academics, and students in biomedical engineering, computer science, and medical informatics, this book highlights the synergistic potential of machine learning and modern medicine in shaping the future of healthcare.
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 101,55
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Añadir al carritoHardcover. Condición: new. Hardcover. Machine Learning for Medical Applications Volume II delves into the intersection of artificial intelligence, computer vision, and healthcare, offering a comprehensive exploration of how machine learning is revolutionizing disease detection and diagnostics. With a focus on deep learning methods, the volume covers a wide spectrum of innovations including medical image segmentation, predictive modeling, tissue engineering, smart biomaterials, and personalized implant design through 3D printing. Contributors from academia and industry present state-of-the-art applications involving quantum dot functionalization, AI-enhanced diagnostic materials, and real-time image analysis. Each chapter provides both foundational knowledge and practical insight into how advanced algorithms can drive medical breakthroughs. Ideal for medical technologists, data scientists, biomedical engineers, and clinical practitioners, this volume emphasizes the role of machine learning in developing faster, smarter, and more accurate diagnostic tools for the next generation of personalized medicine. This volume highlights the integration of machine learning with computer vision and image processing for advanced disease detection and medical diagnostics. Covering cutting-edge research in deep learning architectures, anomaly detection, quantum do This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 122,14
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. Machine Learning for Medical Applications Volume I provides an in-depth look into the frontier of artificial intelligence in healthcare, bringing together contributions from leading researchers and innovators. This volume focuses on three critical areas: computational drug discovery, advanced bioimaging techniques, and the development of smart biomaterials for medical use. Readers will discover how machine learning is revolutionizing personalized medicine, improving diagnostic accuracy, and enabling the design of AI-driven biomedical sensors and therapeutic systems. With practical insights into algorithmic modeling, drug toxicity prediction, and materials screening, this book bridges the gap between data science and clinical applications. Ideal for professionals, academics, and students in biomedical engineering, computer science, and medical informatics, this book highlights the synergistic potential of machine learning and modern medicine in shaping the future of healthcare. This volume explores the transformative power of machine learning in healthcare, focusing on computational drug discovery, medical bioimaging, and smart biomaterials. Featuring cutting-edge research from global experts, it presents innovative approa This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.