Khalid raza mca mphil and phd (26 Ergebnisse)

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Paperback. Zustand: Brand New. 320 pages. 9.25x7.50x9.25 inches. In Stock.

Paperback. Zustand: Brand New. 320 pages. 9.25x7.50x9.25 inches. In Stock.

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Zustand: New. Covers recent advancements in translational bioinformatics and its healthcare applications Discusses integrative and multidisciplinary approaches to U-healthcare systems development and management Bridges the gap among various kno.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 450 pages. 7.52x1.34x9.25 inches. In Stock.

Paperback. Zustand: Brand New. 330 pages. 9.25x7.50x9.25 inches. In Stock.

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Paperback. Zustand: Brand New. 320 pages. 9.25x7.50x9.25 inches. In Stock.

Zustand: New. Addresses the practical application of deep learning algorithms to a wide range of bioinformatics challengesPresents integrative and multidisciplinary approaches to ubiquitous healthcareIncludes case studies to illustrate the conce.

Zustand: New. Explores state-of-the-art molecular docking methods that integrate AI and machine learningProvides practical guidance on docking workflows, scoring functions, and benchmarking toolsCovers applications in drug discovery, precision t.

Zustand: New. 2024. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 330 pages. 9.25x7.50x9.25 inches. In Stock.

Paperback. Zustand: Brand New. 450 pages. 7.52x1.34x9.25 inches. In Stock.

Zustand: New. - Focuses on real-world AI applications in drug design and development provides comprehensive coverage of advanced techniques: deep learning, network-based models, and quantum computing.- Includes case studies on drug repurposing, combination therapies..

Zustand: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Neuware - Translational Bioinformatics in Healthcare and Medicine offers an overview of main principles of bioinformatics, biological databases, clinical informatics, health informatics, viroinformatics and real-case applications of translational bioinformatics in healthcare. Written by experts from both technology and clinical sides, the content brings together essential knowledge to make the best of recent advancements of the field. The book discusses topics such as next generation sequence analysis, genomics in clinical care, IoT applications, blockchain technology, patient centered interoperability of EHR, health data mining, and translational bioinformatics methods for drug discovery and drug repurposing. In addition, it discusses the role of bioinformatics in cancer research and viroinformatics approaches to counter viral diseases through informatics. This is a valuable resource for bioinformaticians, clinicians, healthcare professionals, graduate students and several members of biomedical field who are interested in learning more about how bioinformatics can impact in their research and practice.…

Taschenbuch. Zustand: Neu. Neuware - Deep Learning Applications in Translational Bioinformatics, a new volume in the Advances in Ubiquitous Sensing Application for Healthcare series, offers a detailed overview of basic bioinformatics, deep learning, and various applications of deep learning in translational bioinformatics, including deep learning ensembles, deep learning in protein classification, detection of various diseases, prediction of antiviral peptides, identification of antibiotic resistance, computer aided drug design and drug formulation. This new volume helps researchers working in the field of machine learning and bioinformatics foster future research and development.…

Taschenbuch. Zustand: Neu. Neuware - Artificial Intelligence in Precision Drug Design: Advanced Applications showcases how artificial intelligence (AI) is revolutionizing modern drug discovery and development. Building upon the foundational principles established in Volume 1, this book dives into real-world applications where AI accelerates innovation, enhances predictive accuracy, and enables breakthrough therapeutics. Featuring contributions from leading global researchers and practitioners, the book explores machine learning, deep learning, and network-based approaches applied to complex biomedical challenges. Key areas include AI driven drug repurposing, combination therapies, immunotherapy, vaccine design, quantum computing, and the integration of large language models in drug discovery. Additional chapters highlight predictive modeling using electronic health records, AI-powered medical imaging, and explainable AI for structure-based drug design. What sets this volume apart is its emphasis on practical impact, demonstrating how data, computation, and interdisciplinary collaboration converge to advance precision medicine. Designed for scientists, clinicians, educators, and students, it serves as both a comprehensive reference and a source of inspiration for leveraging AI to transform healthcare.…