High Performance Computing For Drug Discovery And Biomedicine
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High Performance Computing For Drug Discovery And Biomedicine
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Author : Alexander Heifetz
language : en
Publisher: Springer Nature
Release Date : 2023-09-13
High Performance Computing For Drug Discovery And Biomedicine written by Alexander Heifetz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-13 with Science categories.
This volume explores the application of high-performance computing (HPC) technologies to computational drug discovery (CDD) and biomedicine. The first section collects CDD approaches that, together with HPC, can revolutionize and automate drug discovery process, such as knowledge graphs, natural language processing (NLP), Bayesian optimization, automated virtual screening platforms, alchemical free energy workflows, fragment-molecular orbitals (FMO), HPC-adapted molecular dynamic simulation (MD-HPC), and the potential of cloud computing for drug discovery. The second section delves into computational algorithms and workflows for biomedicine, featuring an HPC framework to assess drug-induced arrhythmic risk, digital patient applications relevant to the clinic, virtual human simulations, cellular and whole-body blood flow modeling for stroke treatments, prediction of the femoral bone strength from CT data, and many more subjects. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step and readily reproducible modeling protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, High Performance Computing for Drug Discovery and Biomedicine allows a diverse audience, including computer scientists, computational and medicinal chemists, biologists, clinicians, pharmacologists and drug designers, to navigate the complex landscape of what is currently possible and to understand the challenges and future directions of HPC-based technologies.
Applications And Principles Of Quantum Computing
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Author : Khang, Alex
language : en
Publisher: IGI Global
Release Date : 2024-01-31
Applications And Principles Of Quantum Computing written by Khang, Alex and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Science categories.
In a world driven by technology and data, classical computing faces limitations in tackling complex challenges like climate modeling and financial risk assessment. These barriers impede our aspirations to revolutionize industries and solve intricate real-world problems. To bridge this gap, we must embrace quantum computing. Edited by Alex Khang PH, Principles and Applications of Quantum Computing is a transformative solution to this challenge. It delves into the interdisciplinary realms of computer science, physics, and mathematics, unveiling the incredible potential of quantum computing, which outperforms supercomputers by 158 million times. This technology, rooted in quantum mechanics, offers solutions to global problems and opens new frontiers in AI, cybersecurity, finance, drug development, and more. By engaging with this book, you become a pioneer in the quantum revolution, contributing to reshaping the limits of what's achievable in our digital age.
Annual Reports On Computational Chemistry
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-11-15
Annual Reports On Computational Chemistry written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Science categories.
Annual Reports on Computaional Chemistry, Volume 20 highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Annual Report in Computational Chemistry series
Computational Methods In Medicinal Chemistry Pharmacology And Toxicology
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Author : Muhammad Ishfaq
language : en
Publisher: Academic Press
Release Date : 2025-06-13
Computational Methods In Medicinal Chemistry Pharmacology And Toxicology written by Muhammad Ishfaq and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Medical categories.
Computational Methods in Medicinal Chemistry, Pharmacology, and Toxicology is a comprehensive resource that offers an advanced overview of computational techniques employed in drug discovery, design, and toxicity prediction. The book discusses various topics, including molecular modeling, virtual screening, machine learning, and network pharmacology. It serves as an essential guide for researchers, practitioners, and students in pharmacology, toxicology, medicinal chemistry, bioinformatics, and systems biology fields, showcasing practical applications and future perspectives on new technologies. In addition to covering computational approaches, the book provides real-world examples of drug discovery, candidate optimization, and safety assessment.Other sections explore computer applications in pharmacology and toxicology and discusses the importance of these methods in advancing medicinal research. - Offers comprehensive coverage of computational methods that are relevant to pharmacology and toxicology, including molecular modeling, virtual screening, machine learning, and network pharmacology - Includes practical examples and case studies that demonstrate how these methods can be applied in drug discovery, design, and toxicity prediction - Discusses emerging trends and future directions in the field of computational pharmacology and toxicology that can help readers stay up-to-date with the latest advances and anticipate future developments
Modern Superhypersoft Computing Trends In Science And Technology
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Author : Smarandache, Florentin
language : en
Publisher: IGI Global
Release Date : 2024-12-13
Modern Superhypersoft Computing Trends In Science And Technology written by Smarandache, Florentin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-13 with Computers categories.
In today's data-rich environment, traditional decision-making methods often fail to address the complexities of real-world challenges, especially under conditions of uncertainty and ambiguity. Advanced computational frameworks like neutrosophic and plithogenic theories provide innovative solutions for more nuanced analysis and effective decision-making. These methodologies support better outcomes in areas like knowledge management, economics, and strategic planning by accommodating multiple criteria and incomplete information. By leveraging these sophisticated tools, decision-makers can enhance their ability to adapt to complex scenarios. This shift is crucial for advancing research and technology in a rapidly evolving landscape. Modern SuperHyperSoft Computing Trends in Science and Technology explores the use of advanced computational theories, such as neutrosophic, plithogenic, and SuperHyperSoft set theories, to enhance decision-making processes across various scientific and technological fields. It features contributions that apply these frameworks to complex problems. Covering topics such as artificial intelligence (AI), quality assessment, and wastewater treatment, this book is an excellent resource for students, faculty, researchers, engineers, decision-makers, and more.
Machine Learning For Neurodegenerative Disorders
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Author : Biswajit Jena
language : en
Publisher: CRC Press
Release Date : 2025-03-31
Machine Learning For Neurodegenerative Disorders written by Biswajit Jena and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Science categories.
This book explores the application of machine learning to the understanding, early diagnosis, and management of neurodegenerative disorders. With a specific focus on its role in ongoing clinical trials, the book covers essential topics such as data collection, pre-processing, feature extraction, model development, and validation techniques. It delves into the applications of neuroimaging techniques like magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) in the diagnosis and understanding of neurodegenerative disorders. Additionally, the book examines various machine-learning algorithms employed for biomarker discovery in neurodegenerative disorders. It highlights the role of neuroinformatics and big data analysis in advancing the understanding and management of neurodegenerative disorders. Furthermore, the book reviews future prospects and presents the ethical considerations and regulatory challenges associated with implementing machine learning approaches in the diagnosis, treatment, and prevention of neurodegenerative disorders. This comprehensive resource is intended for neuroscientists, students, researchers, and neurologists to understand the emerging scope of machine learning in neurodegenerative disorders.
10th International Conference On The Development Of Biomedical Engineering In Vietnam
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Author : Van Toi Vo
language : en
Publisher: Springer Nature
Release Date : 2025-06-04
10th International Conference On The Development Of Biomedical Engineering In Vietnam written by Van Toi Vo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-04 with Technology & Engineering categories.
This book presents cutting-edge research and developments in the field of biomedical engineering, with a special emphasis on results achieved in Vietnam and neighboring low- and middle-income countries. Gathering the first volume of the proceedings of the 10th International Conference on The Development of Biomedical Engineering in Vietnam, BME 10, held on July 25-27, 2024, in Phan Thiet, Vietnam, reports on the design, fabrication, and application of low-cost and portable medical devices, biosensors, and microfluidic devices, on improved methods for biological data acquisition and analysis, including applications of artificial intelligence. It also discusses strategies to address some relevant issues in biomedical education and entrepreneurship. A special emphasis is given to advances promoting Healthcare Evolution towards 5P Medicine in Low- and Middle-Income Countries Ecosystem. All in all, this book offers important answers to current challenges in the field and a source of inspiration for scientists, engineers, and researchers with various backgrounds working in different research institutes, companies, and countries.
Relativity In Business
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Author : Kushal Anjaria
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2024-07-04
Relativity In Business written by Kushal Anjaria and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-04 with Business & Economics categories.
‘Relativity in Business: How Physics Shapes Management Science’ unveils the intriguing overlap between physics and management, providing a novel outlook on business strategy and organisational behaviour. It leverages concepts from motion, thermodynamics, quantum mechanics, and chaos theory, among others, to forge a groundbreaking framework for addressing business complexities. Aimed at managers, strategists, and academics, the book translates intricate physics into actionable insights for business challenges, such as optimising operations and leveraging chaos for organisational benefit. Through compelling case studies, it shows how applying physics principles can spur innovation and cultivate efficient, sustainable business practices. This text is a valuable tool for anyone interested in melding scientific principles with business strategy to enhance outcomes, making it a seminal read in the fusion of science and management.
High Performance Computing And Networking
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Author : Ch. Satyanarayana
language : en
Publisher: Springer Nature
Release Date : 2022-03-22
High Performance Computing And Networking written by Ch. Satyanarayana and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-22 with Computers categories.
This book comprises the proceedings of the 2nd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2021). This book highlights the high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers included in this volume are peer-reviewed by experts in the related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.
High Performance Computing For Big Data
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Author : Chao Wang
language : en
Publisher: CRC Press
Release Date : 2017-10-16
High Performance Computing For Big Data written by Chao Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-16 with Computers categories.
High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life science, neural networks, and neuromorphic engineering. The book is organized into two main sections. The first section covers Big Data architectures, including cloud computing systems, and heterogeneous accelerators. It also covers emerging 3D IC design principles for memory architectures and devices. The second section of the book illustrates emerging and practical applications of Big Data across several domains, including bioinformatics, deep learning, and neuromorphic engineering. Features Covers a wide range of Big Data architectures, including distributed systems like Hadoop/Spark Includes accelerator-based approaches for big data applications such as GPU-based acceleration techniques, and hardware acceleration such as FPGA/CGRA/ASICs Presents emerging memory architectures and devices such as NVM, STT- RAM, 3D IC design principles Describes advanced algorithms for different big data application domains Illustrates novel analytics techniques for Big Data applications, scheduling, mapping, and partitioning methodologies Featuring contributions from leading experts, this book presents state-of-the-art research on the methodologies and applications of high-performance computing for big data applications. About the Editor Dr. Chao Wang is an Associate Professor in the School of Computer Science at the University of Science and Technology of China. He is the Associate Editor of ACM Transactions on Design Automations for Electronics Systems (TODAES), Applied Soft Computing, Microprocessors and Microsystems, IET Computers & Digital Techniques, and International Journal of Electronics. Dr. Chao Wang was the recipient of Youth Innovation Promotion Association, CAS, ACM China Rising Star Honorable Mention (2016), and best IP nomination of DATE 2015. He is now on the CCF Technical Committee on Computer Architecture, CCF Task Force on Formal Methods. He is a Senior Member of IEEE, Senior Member of CCF, and a Senior Member of ACM.