Artificial intelligence drug design (20 Ergebnisse)

Paperback. Zustand: Brand New. 59 pages. 6.00x0.14x9.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Artificial Intelligence in Drug Design | Tushar Jaware (u. a.) | Taschenbuch | Englisch | 2023 | Scholars' Press | EAN 9786205523711 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Zustand: New. In English.

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

Taschenbuch. Zustand: Neu. Artificial Intelligence in Drug Design | Alexander Heifetz | Taschenbuch | Methods in Molecular Biology | xi | Englisch | 2022 | Humana | EAN 9781071617892 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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..

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

Zustand: New. Abhirup Khanna is an assistant professor in the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India. He has a strong background in education and research. His research areas focus on AI and Blockchain technology and drivi.

Zustand: New. In English.

Zustand: New.

Zustand: New.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 400 pages. 7.00x1.50x10.00 inches. In Stock.

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.…

Buch. Zustand: Neu. Neuware - The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs.…

Hardcover. Zustand: Brand New. 540 pages. 10.00x7.00x1.30 inches. In Stock.

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

Zustand: New.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the application of artificial intelligence in drug research and development, particularly its growing role in evaluating interactions between biological targets and drug molecules and optimizing drug design pathways. It offers a comprehensive structure divided into four parts: fundamentals of AI algorithms, data foundations and representations, AI driven drug design, and program code. The book systematically introduces key AI methodologies, highlights essential biomedical data resources, and presents data mining approaches based on artificial intelligence. Following the workflow of drug R&D, each chapter explains the basic principles and challenges of specific drug design steps and then reviews the corresponding advances in AI algorithms, supplemented by cross-disciplinary application examples. Readers will gain a clear understanding of how AI integrates into and accelerates the drug development process while reducing associated risks and costs, making the book particularly valuable for researchers and technical professionals engaged in life sciences and pharmaceutical R&D.…

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.