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This book gathers selected, extended and revised contributions to the 17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and the 5th Conference on Imaging and Visualization (CMBBE 2021), held online on September 7-9, 2021, from Bonn, Germany. It reports on cutting-edge models, algorithms and imaging techniques for studying cells, tissues and organs in normal and pathological conditions. It covers numerical and machine learning methods, finite element modeling and virtual reality techniques, applied to understand biomechanics of movement, fluid and soft tissue biomechanics. It also reports on related advances in rehabilitation, surgery and diagnosis. All in all, this book offers a timely snapshot of the latest research and current challenges at the interface between biomedical engineering, computational biomechanics and biological imaging. Thus, it is expected to provide a source of inspiration for future research and cross-disciplinary collaborations.

This book constitutes the refereed proceedings of the 11th International Workshop on Biomedical Image Registration, WBIR 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 28 full papers presented in this book were carefully reviewed and selected from 32 submissions. These papers have been categorized under the following topical sections: Architectures; Robustness; Atlas/ Fusion; Feature/ Similarity Learning & Efficiency.

This book constitutes the refereed proceedings of the 21st International Conference on Computational Methods in Systems Biology, CMSB 2023, held in Luxembourg City, Luxembourg, during September 13–15, 2023. The 14 full papers and 3 tool papers presented in this book were carefully reviewed and selected from 28 submissions. CMSB focuses on modeling, simulation, analysis, design and control of biological systems and covers the broad field of computational methods and tools in systems and synthetic biology and their applications.

This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023.The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions.The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and materialcharacterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.

This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023. The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions. The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.

This book constitutes the refereed proceedings of the 20th Annual RECOMB Satellite Workshop on Comparative Genomics, RECOMB-CG 2023 which took place in Istanbul, Turkey, in April 2023. The 15 full papers included in this book were carefully reviewed and selected from 25 submissions. The papers present cutting edge research in comparative genomics, with an emphasis on computational approaches and novel experimental results.Chapters'Inferring Clusters of Orthologous and Paralogous Transcripts'and'Gene Order Phylogeny via Ancestral Genome Reconstruction under Dollo'are published Open Access under Creative Commons Attribution license (CC BY 4.0).

This volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.

This volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.

This book constitutes the refereed proceedings of the 19th Annual RECOMB Satellite Workshop on Comparative Genomics, RECOMB-CG which took place in La Jolla, USA, during May 20-21, 2022. The 18 full papers included in this book were carefully reviewed and selected from 28 submissions. The papers were organized in topical sections on evolution; phylogenetics; homology and reconciliation; genome rearrangements; metagenomics; and genomic sequencing.

This book constitutes the refereed proceedings of the 20th International Conference on Computational Methods in Systems Biology, CMSB 2022, held in Bucharest, Romania, in September 2022.The 13 full papers and 4 tool papers were carefully reviewed and selected from 43 submissions. CMSB focuses on modeling, simulation, analysis, design and control of biological systems. The papers are arranged thematically as follows: Chemical reaction networks; Boolean networks; continuous and hybrid models; machine learning; software.

This book constitutes the refereed joint proceedings of the 5th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2022, held in September 2022, in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022.The 10 full papers presented at iMIMIC 2022 were carefully reviewed and selected from 24 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention.

This book constitutes the refereed proceedings of the 10th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Munich, Germany, in July 2022.The 11 full and poster papers together with 17 short papers included in this volume were carefully reviewed and selected from 32 submitted papers. The papers are organized in the following topical sections: optimization, deep learning architectures, neuroimaging, diffeomorphisms, uncertainty, topology and metrics.

This book constitutes the refereed proceedings of the 22nd International Conference on Computational Methods in Systems Biology, CMSB 2024, which took place in Pisa, Italy, during September 16-18, 2024. The 11 full papers included in this book were carefully reviewed and selected from 23 submissions. They deal with computational methods and tools in systems and synthetic biology and their applications, focusing on topics such as modeling and simulation; high-performance methods for computational systems biology; identification of biological systems; applications of machine learning; network modeling, analysis, and inference; automated parameter and model synthesis; model integration and biological databases; multiscale modeling and analysis methods; design, analysis, and verification methods for synthetic biology; methods for biomolecular computing and engineered molecular devices; data-based approaches for systems and synthetic biology; optimality and control of biological systems; modeling, analysis, and control of microbial communities. The conference welcomes new theoretical results with potential applications to systems and synthetic biology, as well as novel applications and case studies of existing methods, tools, or frameworks.

This volume constitutes the proceedings of the 11th International Work-Conference on IWBBIO 2023, held in Gran Canaria, Spain, during July 15-17, 2022. The 54 full papers were carefully reviewed and selected from 148 submissions. They were organized in the following topical sections: Biomarker Identification, Biomedical Engineering, Biomedical Signal Analysis, E-Health.

This two-volume set LNBI 14881-14882 constitutes - in conjunction with the 13-volume set LNCS 14862-14874 and the 6-volume set LNAI 14875-14880 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024. The total of 863 regular papers were carefully reviewed and selected from 2189 submissions. The intelligent computing annual conference primarily aims to promote research, development and application of advanced intelligent computing techniques by providing a vibrant and effective forum across a variety of disciplines. This conference has a further aim of increasing the awareness of industry of advanced intelligent computing techniques and the economic benefits that can be gained by implementing them. The intelligent computing technology includes a range of techniques such as Artificial Intelligence, Pattern Recognition, Evolutionary Computing, Informatics Theories and Applications, Computational Neuroscience & Bioscience, Soft Computing, Human Computer Interface Issues, etc.

This two-volume set LNBI 14881-14882 constitutes - in conjunction with the 13-volume set LNCS 14862-14874 and the 6-volume set LNAI 14875-14880 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024. The total of 863 regular papers were carefully reviewed and selected from 2189 submissions. The intelligent computing annual conference primarily aims to promote research, development and application of advanced intelligent computing techniques by providing a vibrant and effective forum across a variety of disciplines. This conference has a further aim of increasing the awareness of industry of advanced intelligent computing techniques and the economic benefits that can be gained by implementing them. The intelligent computing technology includes a range of techniques such as Artificial Intelligence, Pattern Recognition, Evolutionary Computing, Informatics Theories and Applications, Computational Neuroscience & Bioscience, Soft Computing, Human Computer Interface Issues, etc.

This book gathers high-quality research papers presented at the 4th International Conference on Frontiers in Computing and Systems (COMSYS 2023) held at Indian Institute of Technology Mandi, Himachal Pradesh, India, during 16–17 October 2023. The book is divided into two volumes, and it covers research in “cyber-physical systems for real-life applications” pertaining to AI, machine learning and data science; devices, circuits, and systems; computational biology, biomedical informatics, and network medicine; communication networks, cloud computing, and IoT; image, video, and signal processing; and security and privacy.

This book is the second edition of the one originally published in 2016, which focused on state-of-the-art microfluidic research in medical and biological applications. Similar to the first edition, beginners in the field —undergraduates, engineers, biologists, medical and pharmaceutical researchers—will easily learn to understand microfluidic-based medical and biological applications. Because a wide range of topics is summarized here, it also helps experts to learn more about fields outside their own specialties. In this second edition, significant revisions have been made to chapters covering technologies that have seen major advancements, such as acoustofluidics, protein crystallography, organ-on-a-chip systems, nanopore sensing, and paper-based microfluidics. In addition, the chapters on cancer diagnosis using exosomes and single-cell sequencing using droplet microfluidics, which are attracting attention as new technologies, have been newly added. Readers will be convinced that microfluidic devices have great potential for medical and biological applications.

This volume constitutes the proceedings of the 11th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 15-17, 2022. The 54 full papers were carefully reviewed and selected from 148 submissions. They were organized in the following topical sections: Healthcare and Diseases, Machine Learning in Bioinformatics, New Advances in Deep Learning in Bioinformatics and Biomedicine, Novel Methodologies and Applications in Bioinformatics and Biomedicine.

This book gathers high-quality research papers presented at the 4th International Conference on Frontiers in Computing and Systems (COMSYS 2023) held at Indian Institute of Technology Mandi, Himachal Pradesh, India, during 16–17 October 2023. The book is divided into two volumes, and it covers research in “cyber-physical systems for real-life applications” pertaining to AI, machine learning and data science; devices, circuits, and systems; computational biology, biomedical informatics, and network medicine; communication networks, cloud computing, and IoT; image, video, and signal processing; and security and privacy.

This book constitutes the proceedings of the 15th International Workshop on Machine Learning in Medical Imaging, MLMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 6, 2024. The 63 full papers presented in this volume were carefully reviewed and selected from 100 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging using artificial intelligence (AI) and machine learning (ML).

This book constitutes the proceedings of the 15th International Workshop on Machine Learning in Medical Imaging, MLMI 2023, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 6, 2024. The 63 full papers presented in this volume were carefully reviewed and selected from 100 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging using artificial intelligence (AI) and machine learning (ML).

This book presents a collection of high-quality research papers, presented at the Second International Symposium on Bioinformatics and Biomedicine (BioInfoMed'2022). It offers a comprehensive look into some of the fastest growing fields of science, such as biomedicine, bioinformatics, artificial intelligence, and mathematical modeling. The different chapters of the work include both practical solutions and strictly scientific considerations expanding knowledge about the future bioinformatics and biomedical engineering challenges. We believe that the presented works will have a great impact not only on the development and the application of new methods for modeling, decision making and data mining in healthcare and biomedicine, but also it will provide a source of inspiration for researchers who can implement the proposed methods into their practice and scientific studies.

This book constitutes the Third 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, on September 22, 2022.The 22 contributions presented, as well as an overview paper, were carefully reviewed and selected from 24 submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 883 delineated PET/CT images was made available for training.

This book presents contributions from the MICCAI 2022 Computational Biomechanics for Medicine Workshop.'Computational Biomechanics for Medicine - towards translation and better patient outcomes” comprises papers accepted for the MICCAI Computational Biomechanics for Medicine Workshop held in 2022 in Singapore. The content focuses on applications of computational biomechanics to computer-integrated medicine, which includes MICCAI topics of Medical Image Computing, Computer-Aided Modeling and Evaluation of Surgical Procedures, and Imaging, Analysis Methods for Image Guided Therapies, Computational Physiology, and Medical Robotics. Specific topics covered include medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, analysis of injury mechanisms, implant and prostheses design, as well as artificial organ design and medical robotics. This book details state-of-the-art progress in the above fields to researchers, students, and professionals.

This book gathers high-quality research papers presented at the 3rd International Conference on Frontiers in Computing and Systems (COMSYS 2022) held at Indian Institute of Technology Ropar, Punjab, India, during December 19–21, 2022. The book covers research in “cyber-physical systems for real-life applications” pertaining to AI, machine learning, and data science; devices, circuits, and systems; computational biology, biomedical informatics and network medicine; communication networks, cloud computing and IoT; image, video and signal processing; and security and privacy.

This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems.

This book presents contributions from the MICCAI 2021 Computational Biomechanics for Medicine Workshop.'Computational Biomechanics for Medicine - towards translation and better patient outcomes” comprises papers accepted for the MICCAI Computational Biomechanics for Medicine Workshop held virtually in conjunction with Medical Image Computing and Computer Assisted Intervention conference 2021, based in Strasbourg. The content focuses on methods and applications of computational biomechanics to medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, analysis of injury mechanisms, implant and prostheses design, as well as artificial organ design and medical robotics. This book details state-of-the-art progress in the above fields to researchers, students, and professionals.

This book constitutes the proceedings of the 13th International Workshop on Machine Learning in Medical Imaging, MLMI 2022, held in conjunction with MICCAI 2022, in Singapore, in September 2022. The 48 full papers presented in this volume were carefully reviewed and selected from 64 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.

This book gathers outstanding research papers presented at the 2nd International Conference on Frontiers in Computing and Systems (COMSYS 2021), organized by Department of Electronics and Communication Engineering and Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India held during September 29–October 1, 2021. The book presents the latest research and results in various fields of machine learning, computational intelligence, VLSI, networks and systems, computational biology, and security, making it a rich source of reference material for academia and industry alike.

In Molecular and Computational Modeling of Cardiac Function, a group of prominent professors and researchers explain the fundamental concepts of molecular modeling and illustrate the biomedical applications. The book covers the following topics: Principles of atomistic modeling and simulation of biomolecular systems. Using atomistic modeling to predict the cardiotoxicity of an arrhythmia drug molecule. Bifurcation phenomena in cardiac system as control design of automaticity and arrhythmia. Modeling the role of myoglobin as a fatty acid transporter. Population-based computational approaches to investigate cardiac arrhythmia.

This volume focuses on recent advancements in our current understanding of nucleic acid photochemistry and its relationship to biologically relevant phenomena. Understanding the photophysical properties of nucleic acids is an area of longstanding and active research. Over the years, the field has greatly benefitted from steady advances in spectroscopic techniques and computational methods to study molecular excited states, which have facilitated detailed studies of the behavior of nucleic acids and their components after they absorb light. Experiments performed on ultrafast time scales (femtoseconds - picoseconds) have permitted the accurate determination of excited state lifetimes, while computational studies have provided detailed microscopic information about the mechanisms involved. As our understanding of the fundamental photophysics of nucleic acids has advanced, current studies now focus on systems of higher complexity, and introduce novel optical techniques to investigate the interactions between nucleic acids and proteins. Spectroscopic studies of nucleic acids, particularly nucleic acid constructs labeled with optical probes, can yield richly detailed information important to molecular biology, biochemistry and biophysics. This book is a must-read for anyone interested in the photophysical properties of nucleic acids and their role in biologically relevant phenomena.

The mammal fauna of the Brazilian Amazon is one of the most diverse on Earth with over 450 known species. Bringing together more than 70 of the world's top experts on Amazonian mammals, this book unites, for the first time, up-to-date data on the current state of knowledge on the ecology of all groups of non-rodent mammals in the Brazilian Amazon, analyses the effectiveness of current conservation programmes and identifies research and conservation priorities for the future.

This book contains chapters on wearable biomedical sensors and their assistive technologies for promoting behavioral change in medical and health care. Part I reviews several wearable biomedical sensors based on biocompatible materials and nano and micro-electromechanical systems (MEMS) technologies in the medical and dental fields. Part II introduces the latest approaches to wearable biosensing using unique devices for various skin targets such as sweat, interstitial fluid, and transcutaneous gases. Part III presents technologies supporting wearable sensors, including soft and flexible materials, manufacturing methods, skin volatile-marker imaging, and energy harvesting devices.This book is intended for graduate students, academic researchers, and professors that work in medical and healthcare research fields, as well as industry professionals involved in the development of wearable and flexible sensing devices and measurement systems for human bio/chemical sensing, medicalmonitoring, and healthcare services, and for medical professionals and government officials who are driving behavior change in health care.

The second edition of this book provides a completely updated account of the structure, dynamics, and physics of viral particles: from the moment they emerge by self-assembly from viral components produced in the infected cell, through their extracellular stage, until they recognize and infect a new host cell and cease to exist as they lose their physical integrity to initiate a new infectious cycle. New insights into the structure of viruses, their physical properties, and mechanisms of action, derived from results obtained in the last decade, have been included, as well as other (bio)physical techniques to study the structure or dynamics of virus particles and components. These include, among many others, new advances in high-resolution electron cryomicroscopy; novel approaches in the use of electron cryotomography or the application of soft X-ray tomography to study viruses in the infected cell; high-speed atomic force microscopy to study virus assembly and dynamics; and the development of new antiviral drugs and vaccines. as well as of many nanomedical and nanotechnological applications of virus particles. New chapters on the study of viruses inside infected cells and on technological applications of modified viral particles have been included in this second edition. The book is still aimed primarily at Master's students, Ph.D. students, and postdoctoral researchers with degrees in biology, chemistry, physics or related scientific disciplines who have an interest in or are working with viruses. It provides an up-to-date overview of many important concepts, techniques, studies and applications in structural and physical virology for specialized researchers working with viruses, regardless of their field of specialization, covering the latest research together with fundamental concepts and well-established facts. In short, this book is basic enough to be used by undergraduate and Ph.D. students, but advanced and up-to-date enough for experienced scientists with an interest in structural and/or physical virology.

This textbook teaches health analytics using examples from the statistical programming language R. It utilizes real-world examples with publicly available datasets from healthcare and direct-to-consumer genetics to provide learners with real-world examples and enable them to get their hands on actual data. This textbook is designed to accompany either a senior-level undergraduate course or a Masters level graduate course on health analytics. The reader will advance from no prior knowledge of R to being well versed in applications within R that apply to data science and health analytics. “I have never seen a book like this and think it will make an important contribution to the field. I really like that it covers environmental, social, and geospatial data. I also really like the coverage of ethics. These aspects of health analytics are often overlooked or deemphasized. I will definitely buy copies for my team.” - Jason Moore, Cedars-Sinai Medical Center “Overall, I have a highly positive impression of the book. It is VERY comprehensive. It covers very extensive data types. I do not recall other books with the same level of comprehensiveness.” - Shuangge Ma, Yale University “The book is comprehensive in both aspects of genetics, and health analytics. It covers any type of information a healthcare data scientist should be familiar with, whether they are novice or experienced. I found any chapter that I looked into comprehensive, but also not too detailed (although in general this book is more than 600 pages of comprehensive and detailed relevant information).” - Robert Moskovtich, Ben-Gurion University of the Negev

Flow cytometry is a state-of-the-art technology that is widely used in biological research and clinical diagnostics. It is a high-throughput platform that allows the quantification, differentiation, and functional study of cells or cell like particles in suspension. Various cell components can be targeted with fluorescently labelled antibodies or fluorescent dyes to allow measurement and analysis of the physical, chemical, and biological properties of individual cells within homogenous or heterogeneous populations. Since its commercialization more than five decades ago, flow cytometry has advanced and become an very important analytical tool in translational research. With the advancement of instrument technology, an increasing number of fluorescent dyes, and an expanding range of monoclonal antibodies, the applications of flow cytometry in applied research continue to grow. The use of multiparametric flow cytometry in translational research provides the ability to rapidly identify different cell populations and to simultaneously measure multiple parameters of single cells for efficiently assessing immune status, decrease/increase of specific immune cell populations, cell activation status, etc. of different cells in preclinical and clinical studies. The primary goal of any research work is to take research results from the'bench to-bed and back'. The use of flow cytometry in applied research advances the development of new diagnostic tests or drugs for cancer treatment, immune monitoring, etc. that help in patient care. Today, every biological scientist needs to have basic knowledge of flow cytometry in order to utilise this technology properly in their own research and to understand other's research work. The present book has been designed to give the knowledge of flow cytometry and its applications to the researchers and teachers. It will allow the readers to utilize the technology in an appropriate way in their research work. This book has describing various applications of flow cytometry like cell health monitoring, immunophenotyping, cell sorting, stem cell characterization, micro-vesicle analysis etc.

This book commences with an introduction to the fundamental principles of light and electron microscopy, laying the groundwork for readers to grasp the significance of ultramicrotomy within these fields. It addresses every aspect of ultramicrotomy, including its history, instrumentation, procedural intricacies, as well as guidelines for maintenance and troubleshooting. A number of images and illustrations have been included to depict every step of the ultramicrotomy procedure to facilitate deeper understanding of the subject. It also talks about different techniques that can be employed for enhancing the quality and precision of the microscopy results. This book is a resource for researchers, faculty members, students, microtomists and microscopists working on sample preparation and analysis through transmission electron microscopy.

This book shows how and why quality assurance programmes should be implemented in laboratory rodent facilities to monitor animal health and genetic status. It covers common practice to assure the desired level of microbiological and genetic surveillance of both genetically standardized and genetically altered laboratory mice and rats. In particular, the book introduces readers to the standardized genetic nomenclature and provides step-by-step protocols for genetic monitoring of the animals. International standards of health monitoring programs are discussed and statistical aspects thereof are explored. Furthermore, the book reviews common infectious diseases in laboratory rodents and guides the reader in monitoring the animals'health status through application of current diagnostic methods. This book adresses researchers, technicians and zookeepers working in laboratory rodent facilities.

This book reviews the latest developments and applications in the field of biosensing, providing readers with an update of the earlier, successful edition, Biosensing for the 21st Century. In this book, readers will find comprehensive key information on the advances and challenges in biorecognition elements and transduction principles, including examples of new materials and new methods. Ranging from engineering chimeric enzymes to the progress in electrochemical sensing of drugs, the book discusses the latest innovations in the field and thus, provides the reader with a profound overview. In the field of biological recognition the focus will be on switchable sensors by engineering new proteins, the development of Molecular Imprinted Polymers (MIPs) for proteins or even larger biological entities, the construction of complex nucleic acid – protein structures for affinity sensing and the application of whole microbes. The book covers new trends in signal transduction which includes graphene-based field effect transistors, nanopores designed for high selectivity and sensitivity in analysis, plasmonic and nanophotonic sensing applying metal nanostructures up to new developments in microarray construction. An introduction in to the challenges in skin-interfaced systems for continuous biochemical sensing, offers a glimpse into the future of wearable technologies. Furthermore, actual areas of application of new sensing strategies such as the detection of various types of viruses and bacteria or the analysis of drugs will be highlighted. Each chapter provides a scholarly yet accessible perspective on the latest trends in biosensor technology. Given its breadth, the book has an interdisciplinary appeal and engages a wide readership, from students and researchers to practitioners in academia and industry, interested in the fields of biochemical/biomedical engineering and in biosensing methodologies and applications.

This book outlines past and new developments in molecular response theory in terms of static and dynamic-induced current densities and showcases an important step forward in the field of molecular density functions and their topological analysis. The book begins with a general perspective on topics such as classical Hamiltonian, quantum mechanical Hamiltonian, and topological analysis of the electron charge density, followed by an in-depth overview of time-dependent and -independent perturbations, and applications. In this book, the author presents a completely new approach that allows the interpretation of electric and magnetic properties through origin-independent density functions. Readers will also find examples of how the new origin-independent density functions are useful for rationalizing the chemical behavior of molecules interacting with impinging radiation. The concepts contained within the book are the basis for a deeper understanding of Nuclear magnetic resonance (NMR) and Electron paramagnetic resonance (EPR) spectroscopies, as well as the mechanisms that give rise to electric polarization and optical activity in chiral systems. A basic knowledge of quantum mechanics and ab initio electronic structure calculation methods such as Hartree-Fock and Density Functional Theory is required. Given its breadth, the book provides an important contribution to the field of Quantum Chemical Topology and appeals to students and researchers interested in learning more about the relationship between electrical and magnetic properties, density functions derivable from them and experimental observables.

This book examines the development and applications of system biology approaches for the prevention, diagnosis, and understanding of disease mechanisms. It explores the applications of system biology in infectious diseases, including host-pathogen interaction, and the identification of targets for new therapeutics and intervention strategies. It covers the use of system biology for understanding and treating metabolic disorders towards personalized and precision medicine. The book further discusses the systems biology approaches for understanding the mechanisms of tumor progression and designing more effective cancer therapies. The chapter also reviews the current strategies in autoimmune disease treatment and highlights the opportunity that systems biology represents for the development of better and safer treatments. Importantly, the book discusses the current state of the systems-level understanding of diseases and both the therapeutic and adverse mechanisms of drug actions usingsystem biology approaches. Cutting across the disciplines, this book is a valuable source for researchers in genetics, molecular biology, cell biology, microbiology, and biomedical sciences.​

Advances in experimental technologies have given rise to tremendous amounts of biology data. This not only offers valuable sources of data to help understand biological evolution and functional mechanisms, but also poses challenges for accurate and effective data analysis. This book offers an essential introduction to the theoretical and practical aspects of association analysis, including data pre-processing, data mining methods/algorithms, and tools that are widely applied for computational biology. It covers significant recent advances in the field, both foundational and application-oriented, helping readers understand the basic principles and emerging techniques used to discover interesting association patterns in diverse and heterogeneous biology data, such as structure-function correlations, and complex networks with gene/protein regulation. The main results and approaches are described in an easy-to-follow way and accompanied by sufficientreferences and suggestions for future research. This carefully edited monograph is intended to provide investigators in the fields of data mining, machine learning, artificial intelligence, and bioinformatics with a profound guide to the role of association analysis in computational biology. It is also very useful as a general source of information on association analysis, and as an overall accompanying course book and self-study material for graduate students and researchers in both computer science and bioinformatics.

This book explores the role of fractional calculus and associated partial differential equations in modeling multiscale phenomena and overlapping macroscopic & microscopic scales, offering an innovative and powerful tool for modeling complex systems. While integer order PDEs have a long-standing history, the novel setting of fractional PDEs opens up new possibilities for the simulation of multi-physics phenomena. The book examines a range of releavant examples that showcase the seamless transition from wave propagation to diffusion or from local to non-local dynamics in both continuum and discrete systems. These systems have been argued as being particularly relevant in contexts such as nonlinear optics, lattice nonlinear dynamical systems, and dispersive nonlinear wave phenomena, where the exploration of the potential fractionality has emerged as a highly active topic for current studies.The volume consists of contributions from a diverse group of active scholars and expertsacross different fields, providing a detailed examination of the field's past, present, and future state-of-the-art in the interplay of fractional PDEs and nonlinear wave phenomena. It is intended to be of wide interest to both seasoned researchers and beginners in the Field of Nonlinear Science. This book sets the stage for the next decade of research and beyond and is a timely and relevant reference of choice for this crucial junction of current research.

Alfredo Ferro's impact on information technology has traversed diverse domains, encompassing Computational Logic, Data Mining, Bioinformatics, and Complex Systems. After first studying Mathematics at the University of Catania, he received a Ph.D. in Computer Science from NYU in 1981, working under the supervision of Jacob Theodor (Jack) Schwartz. He returned to the University of Catania where he established the Computer Science undergraduate program, served as the coordinator of the Ph.D. program in Computer Science, cofounded the Ph.D. program in Biology, Human Genetics, and Bioinformatics, and retired as a full professor in 2021.Alfredo's academic career as a computer scientist is characterized by two distinct research phases: Computational Logic until approximately 1995, followed by a notable focus on Data Mining and Bioinformatics. The contributions in this volume reflect the quality and the scope of his personal and collaborative successes.He also taught andinspired many excellent scientists. A pioneering initiative was to establish summer schools for Ph.D. students in 1989, leading to the so-called Lipari School, now the J.T. Schwartz International School for Scientific Research, where Alfredo continues to serve as director. This prestigious series includes schools focused on Computer Science, Complex Systems, and Computational Biology, featuring world-class scientists as lecturers and mentors.

This brief offers an introduction to the fascinating new field of quantitative read-across structure-activity relationships (q-RASAR) as a cheminformatics modeling approach in the background of quantitative structure-activity relationships (QSAR) and read-across (RA) as data gap-filling methods. It discusses the genesis and model development of q-RASAR models demonstrating practical examples. It also showcases successful case studies on the application of q-RASAR modeling in medicinal chemistry, predictive toxicology, and materials sciences. The book also includes the tools used for q-RASAR model development for new users. It is a valuable resource for researchers and students interested in grasping the development algorithm of q-RASAR models and their application within specific research domains.

Endophytes have unique characteristics to propagate inside host plants and aide the host by providing additional defense against environmental stresses and phytopathogens. Among endophytes, endophytic fungi have been recognized as a proliferating source for the production of bioactive compounds with potential in both the agricultural and health industries.Excessive use of pesticides in agriculture as well as in the food supply chain have led to increased antimicrobial resistance (AMR), which is one of the more serious global health concerns. Endophytic fungi and their associated bioactive substances have been reported to show natural ability to fight against pathogens and can reduce the development of AMR in nature. Studies also reported their potential as producers of hormones that enhance plant growth and several compounds having biological activities without any adverse effects.This book covers the pharmaceutical potential offungal endophytes as elucidated through advanced bioinformatics tools and modern techniques. Also synthetic drugs are losing their efficacy to treat microbial-induced disease due to this emergence of drug-resistant microbes. Therefore, insight into the detection of valuable plant constituents is a pressing priority in order to achieve effective pharmaceutical treatments. This book provides lucid discussion of the most recent research and provides knowledge about the applications of endophytic fungi with a specific focus to their pharmaceutical potential.

The new edition of this popular book brings together experts in the field of Systems Neuroscience to present an overview of the area. Topics covered include how different neural circuits analyze sensory information, form perceptions of the external world, make decisions, and execute movements; how nerve cells behave when connected together to form neural networks; the relationship between molecular and cellular approaches to understanding brain structure and function; the study of high-level mental functions; and studying brain pathologies and disease. Among the topics covered in the new edition are artificial intelligence-assisted computational neuroscience for deciphering neural networks, spatial transcriptomics single cell sequencing, and exome/whole genome sequencing for understanding brain disorders in human genetics. The best way to study the brain, the most complex organ in the body composed of 100 billion neurons with trillions of interconnections, is with a systems biology approach.

This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex dynamical models, and looks at their objectives. It begins by providing a definition of complexity in dynamic systems, introducing the concepts of system size, density of interactions, stiff dynamics, and the hybrid nature of determination. The discussion then turns to the mathematical foundations of model structural and practical identifiability analysis, multilinear and non-linear regression analysis, and best predictor selection, and their algorithmic procedures. Although the featured examples mainly focus on applications to biochemistry and systems biology, the methodologies described can also be employed in other disciplines such as physics and the environmental sciences. Readers will learn how to determine identifiability conditions, how to search for an identifiable model, and how to conduct their own regression analysis and diagnostics without supervision. This new edition includes a concise, yet comprehensive treatment of the main artificial intelligence methods which can be used for parameter inference in models of complex dynamic biological systems. It emphasizes the most efficient solutions for generating synthetic data that augment the training data and which are indispensable for machine learning procedures. Featuring a wealth of real-world examples, exercises, and R codes, the book addresses the needs of doctoral students and researchers in bioinformatics, bioengineering, systems biology, biophysics, biochemistry, the environmental sciences and experimental physics. Familiarity with the fundamentals of probability and statistics (as provided in first-year university courses) and a basic grasp of R are assumed.

This book covers the latest advancements and applications of nonlinear dynamics in various fields of science and engineering, presenting a curated selection of peer-reviewed contributions at the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024) at Sikkim Manipal Institute of Technology (SMIT). Organized by the Department of Mathematics, SMIT, SMU, this international conference provides a platform for scientists, researchers, and inventors to share their findings and exchange ideas in the ever-evolving field of nonlinear dynamics. This book comprises three volumes. Volume 1 focuses on the investigation of nonlinear waves and plasma dynamics. It covers topics such as strong Landau damping, electron plasma waves, ion-acoustic waves, dusty plasma, dust-acoustic waves, dust-ion-acoustic waves, kinetic Alfven waves, solitary wave, shock waves, periodic wave, cnoidal wave, superperiodic wave, soliton, resonance, lump soliton, multi-soliton, breather wave, upper hybrid wave, atmospheric internal wave, mathematical and analytical methods, quantum and relativistic plasmas, wave instabilities and interactions, fractional and complex systems, nonlinear optical phenomena, Gaussian laser beam, chaos and multistability, and other specific plasma studies.