Automated Reasoning for Systems Biology and Medicine

Automated Reasoning for Systems Biology and Medicine

Author: Pietro Liò

Publisher: Springer

Published: 2019-06-11

Total Pages: 471

ISBN-13: 303017297X

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This book presents outstanding contributions in an exciting, new and multidisciplinary research area: the application of formal, automated reasoning techniques to analyse complex models in systems biology and systems medicine. Automated reasoning is a field of computer science devoted to the development of algorithms that yield trustworthy answers, providing a basis of sound logical reasoning. For example, in the semiconductor industry formal verification is instrumental to ensuring that chip designs are free of defects (or “bugs”). Over the past 15 years, systems biology and systems medicine have been introduced in an attempt to understand the enormous complexity of life from a computational point of view. This has generated a wealth of new knowledge in the form of computational models, whose staggering complexity makes manual analysis methods infeasible. Sound, trusted, and automated means of analysing the models are thus required in order to be able to trust their conclusions. Above all, this is crucial to engineering safe biomedical devices and to reducing our reliance on wet-lab experiments and clinical trials, which will in turn produce lower economic and societal costs. Some examples of the questions addressed here include: Can we automatically adjust medications for patients with multiple chronic conditions? Can we verify that an artificial pancreas system delivers insulin in a way that ensures Type 1 diabetic patients never suffer from hyperglycaemia or hypoglycaemia? And lastly, can we predict what kind of mutations a cancer cell is likely to undergo? This book brings together leading researchers from a number of highly interdisciplinary areas, including: · Parameter inference from time series · Model selection · Network structure identification · Machine learning · Systems medicine · Hypothesis generation from experimental data · Systems biology, systems medicine, and digital pathology · Verification of biomedical devices “This book presents a comprehensive spectrum of model-focused analysis techniques for biological systems ...an essential resource for tracking the developments of a fast moving field that promises to revolutionize biology and medicine by the automated analysis of models and data.”Prof Luca Cardelli FRS, University of Oxford


Automated Reasoning for Systems Biology and Medicine

Automated Reasoning for Systems Biology and Medicine

Author: Pietro Liò

Publisher:

Published: 2019

Total Pages:

ISBN-13: 9783030172985

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"This book presents outstanding contributions in an exciting, new and multidisciplinary research area: the application of formal, automated reasoning techniques to analyse complex models in systems biology and systems medicine. Automated reasoning is a field of computer science devoted to the development of algorithms that yield trustworthy answers, providing a basis of sound logical reasoning. For example, in the semiconductor industry formal verification is instrumental to ensuring that chip designs are free of defects (or "bugs"). Over the past 15 years, systems biology and systems medicine have been introduced in an attempt to understand the enormous complexity of life from a computational point of view. This has generated a wealth of new knowledge in the form of computational models, whose staggering complexity makes manual analysis methods infeasible. Sound, trusted, and automated means of analysing the models are thus required in order to be able to trust their conclusions. Above all, this is crucial to engineering safe biomedical devices and to reducing our reliance on wet-lab experiments and clinical trials, which will in turn produce lower economic and societal costs. Some examples of the questions addressed here include: Can we automatically adjust medications for patients with multiple chronic conditions? Can we verify that an artificial pancreas system delivers insulin in a way that ensures Type 1 diabetic patients never suffer from hyperglycaemia or hypoglycaemia? And lastly, can we predict what kind of mutations a cancer cell is likely to undergo? This book brings together leading researchers from a number of highly interdisciplinary areas, including: · Parameter inference from time series · Model selection · Network structure identification · Machine learning · Systems medicine · Hypothesis generation from experimental data · Systems biology, systems medicine, and digital pathology · Verification of biomedical devices"--Publisher's website.


Bioinformatics Research and Applications

Bioinformatics Research and Applications

Author: Mukul S. Bansal

Publisher: Springer Nature

Published: 2023-01-01

Total Pages: 405

ISBN-13: 3031231988

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This book constitutes the proceedings of the 18th International Symposium on Bioinformatics Research and Applications, ISBRA 2022, held in Haifa, Israel, in November 14–17, 2022. The 30 full papers and 4 short papers presented in this book were carefully reviewed and selected from 72 submissions. They were organized in topical sections named: AI and disease; computational proteomics; biomedical imaging; drug screening and drug-drug interaction prediction; Biomedical data; sequencing data analysis.


Intelligent Computer Mathematics

Intelligent Computer Mathematics

Author: Catherine Dubois

Publisher: Springer Nature

Published: 2023-08-30

Total Pages: 333

ISBN-13: 303142753X

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This book constitutes the refereed proceedings of the 16th International Conference on Intelligent Computer Mathematics, CICM 2023, held in Cambridge, UK, in September 2023. The 14 full papers, 2 project/survey papers, 6 short papers, and 1 tool paper presented were carefully reviewed and selected from a total of 37 submissions. The papers focus on advances in formalization, automatic theorem proving and learning, search and classification, teaching and geometric reasoning, and logic and systems, among other topics.


Computer Algebra in Scientific Computing

Computer Algebra in Scientific Computing

Author: François Boulier

Publisher: Springer Nature

Published: 2020-10-17

Total Pages: 644

ISBN-13: 3030600262

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This book constitutes the refereed proceedings of the 22nd International Workshop on Computer Algebra in Scientific Computing, CASC 2020, held in Linz, Austria, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 34 full papers presented together with 2 invited talks were carefully reviewed and selected from 41 submissions. They deal with cutting-edge research in all major disciplines of computer algebra. The papers cover topics such as polynomial algebra, symbolic and symbolic-numerical computation, applications of symbolic computation for investigating and solving ordinary differential equations, applications of CAS in the investigation and solution of celestial mechanics problems, and in mechanics, physics, and robotics.


Intelligent Vision in Healthcare

Intelligent Vision in Healthcare

Author: Mukesh Saraswat

Publisher: Springer Nature

Published: 2022-01-29

Total Pages: 151

ISBN-13: 9811677719

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This book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.


Integrated Formal Methods

Integrated Formal Methods

Author: Wolfgang Ahrendt

Publisher: Springer Nature

Published: 2019-11-22

Total Pages: 565

ISBN-13: 3030349683

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This book constitutes the refereed proceedings of the 15th International Conference on Integrated Formal Methods, IFM 2019, held in Bergen, Norway, in December 2019. The 25 full papers and 3 short papers were carefully reviewed and selected from 95 submissions. The papers cover a broad spectrum of topics: from language design to verification and analysis techniques, to supporting tools and their integration into software engineering practice including both theoretical approaches and practical implementations. Also included are the extended abstracts of 6 "journal-first" papers.


Cognitive Science

Cognitive Science

Author: Jay Friedenberg

Publisher: SAGE Publications

Published: 2021-09-16

Total Pages: 456

ISBN-13: 1544380178

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Cognitive Science provides a comprehensive and up-to-date introduction to the study of the mind. The authors examine the mind from the perspective of different fields, including philosophy, psychology, neuroscience, networks, evolution, emotional and social cognition, linguistics, artificial intelligence, robotics, and the new framework of embodied cognition. Each chapter focuses on a particular disciplinary approach and explores methodologies, theories, and empirical findings. Substantially updated with new and expanded content, the Fourth Edition reflects the latest research in this rapidly evolving field.


Computational Methods in Systems Biology

Computational Methods in Systems Biology

Author: Alessandro Abate

Publisher: Springer Nature

Published: 2020-10-01

Total Pages: 387

ISBN-13: 303060327X

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This book constitutes the refereed proceedings of the 18th International Conference on Computational Methods in Systems Biology, CMSB 2020, held in Konstanz, Germany, in September 2020.* The 17 full papers and 5 tool papers were carefully reviewed and selected from 30 submissions. In addition 3 abstracts of invited talks and 2 tutorials have been included in this volume. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations; model inference from experimental data; model integration from biological databases; multi-scale modeling and analysis methods; computational approaches for synthetic biology; and case studies in systems and synthetic biology. * The conference was held virtually due to the COVID-19 pandemic.


Calcium-Based Materials

Calcium-Based Materials

Author: S.S. Nanda

Publisher: CRC Press

Published: 2024-05-15

Total Pages: 221

ISBN-13: 1040021298

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Calcium-based natural minerals are important for a wide range of applications. Though these materials are available in nature, researchers are working toward developing them in the laboratory. Calcium-Based Materials: Processing, Characterization, and Applications introduces the possibility of designing these materials for particular applications. Introduces a variety of calcium-based materials and discusses synthesis, growth, and stability Provides in-depth coverage of calcium carbonate Discusses applications of calcium-based minerals in different fields Includes details on synchrotron X-ray tools for case minerals This comprehensive text is aimed at researchers in materials science, engineering, and bioengineering.