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Computational Biomedicine by Peter Coveney,Vanessa Díaz-Zuccarini,Peter Hunter,Marco Viceconti Pdf
Computational Biomedicine unifies the different strands of a broad-ranging subject to demonstrate the power of a tool that has the potential to revolutionise our understanding of the human body, and the therapeutic strategies available to maintain and protect it.
Computational Topology for Biomedical Image and Data Analysis by Rodrigo Rojas Moraleda,Nektarios A. Valous,Wei Xiong,Niels Halama Pdf
This book provides an accessible yet rigorous introduction to topology and homology focused on the simplicial space. It presents a compact pipeline from the foundations of topology to biomedical applications. It will be of interest to medical physicists, computer scientists, and engineers, as well as undergraduate and graduate students interested in this topic. Features: Presents a practical guide to algebraic topology as well as persistence homology Contains application examples in the field of biomedicine, including the analysis of histological images and point cloud data
Modeling in Computational Biology and Biomedicine by Frédéric Cazals,Pierre Kornprobst Pdf
Computational biology, mathematical biology, biology and biomedicine are currently undergoing spectacular progresses due to a synergy between technological advances and inputs from physics, chemistry, mathematics, statistics and computer science. The goal of this book is to evidence this synergy by describing selected developments in the following fields: bioinformatics, biomedicine and neuroscience. This work is unique in two respects - first, by the variety and scales of systems studied and second, by its presentation: Each chapter provides the biological or medical context, follows up with mathematical or algorithmic developments triggered by a specific problem and concludes with one or two success stories, namely new insights gained thanks to these methodological developments. It also highlights some unsolved and outstanding theoretical questions, with a potentially high impact on these disciplines. Two communities will be particularly interested in this book. The first one is the vast community of applied mathematicians and computer scientists, whose interests should be captured by the added value generated by the application of advanced concepts and algorithms to challenging biological or medical problems. The second is the equally vast community of biologists. Whether scientists or engineers, they will find in this book a clear and self-contained account of concepts and techniques from mathematics and computer science, together with success stories on their favorite systems. The variety of systems described represents a panoply of complementary conceptual tools. On a practical level, the resources listed at the end of each chapter (databases, software) offer invaluable support for getting started on a specific topic in the fields of biomedicine, bioinformatics and neuroscience.
Synthesis of Nanomaterials by Felipe López-Saucedo Pdf
Synthesis of Nanomaterials is a beginner’s guide to the synthesis and characterization of biomaterials for medical devices and implants. It presents 8 chapters explaining the use of biomaterials in medicine and pharmacology. The concepts are explained with the guidance of specialists who present the principal techniques and methods to obtain high-performance polymers and composite materials. Starting with an introduction to the subject, the book explains nanomaterials synthesis and progresses towards engineering applications. The chapters also cover modern biomaterials such as stimuli-responsive biomaterials, hydrogels, and self-healing materials. One chapter is dedicated to computational and theoretical techniques in biomedicine and a final chapter covering microencapsulation for advanced drug delivery rounds up the contents. Synthesis of Nanomaterials is a primary reference book for undergraduate and graduate students as well as professors involved in multidisciplinary research and teaching programs.
Advances in Computational Intelligence by Joan Cabestany,Ignacio Rojas,Gonzalo Joya Pdf
This two-volume set LNCS 6691 and 6692 constitutes the refereed proceedings of the 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, held in Torremolinos-Málaga, Spain, in June 2011. The 154 revised papers were carefully reviewed and selected from 202 submissions for presentation in two volumes. The second volume includes 76 papers organized in topical sections on video and image processing; hybrid artificial neural networks: models, algorithms and data; advances in machine learning for bioinformatics and computational biomedicine; biometric systems for human-machine interaction; data mining in biomedicine; bio-inspired combinatorial optimization; applying evolutionary computation and nature-inspired algorithms to formal methods; recent advances on fuzzy logic and soft computing applications; new advances in theory and applications of ICA-based algorithms; biological and bio-inspired dynamical systems; and interactive and cognitive environments. The last section contains 9 papers from the International Workshop on Intelligent Systems for Context-Based Information Fusion, ISCIF 2011, held at IWANN 2011.
Introduction to Computational Health Informatics by Arvind Kumar Bansal,Javed Iqbal Khan,S. Kaisar Alam Pdf
This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data analysis. Features Integrates computer science and clinical perspectives Describes various statistical and artificial intelligence techniques, including machine learning techniques such as clustering of temporal data, regression analysis, neural networks, HMM, decision trees, SVM, and data mining, all of which are techniques used widely used in health-data analysis Describes computational techniques such as multidimensional and multimedia data representation and retrieval, ontology, patient-data deidentification, temporal data analysis, heterogeneous databases, medical image analysis and transmission, biosignal analysis, pervasive healthcare, automated text-analysis, health-vocabulary knowledgebases and medical information-exchange Includes bioinformatics and pharmacokinetics techniques and their applications to vaccine and drug development
Biosignal Processing and Computational Methods to Enhance Sensory Motor Neuroprosthetics by Mitsuhiro Hayashibe,David Guiraud,Jose L. Pons,Dario Farina Pdf
Though there have been many developments in sensory/motor prosthetics, they have not yet reached the level of standard and worldwide use like pacemakers and cochlear implants. One challenging issue in motor prosthetics is the large variety of patient situations, which depending on the type of neurological disorder. To improve neuroprosthetic performance beyond the current limited use of such systems, robust bio-signal processing and model-based control involving actual sensory motor state (with biosignal feedback) would bring about new modalities and applications, and could be a breakthrough toward adaptive neuroprosthetics. Recent advances of Brain Computer Interfaces (BCI) now enable patients to transmit their intention of movement. However, the functionality and controllability of motor prosthetics itself can be further improved to take advantage of BCI interfaces. In this Research Topic we welcome contribution of original research articles, computational and experimental studies, review articles, and methodological advances related to biosignal processing that may enhance the functionality of sensory motor neuroprosthetics. The scope of this topic includes, but is not limited to, studies aimed at enhancing: 1) computational biosignal processing in EMG (Electromyography), EEG (Electroencephalography), and other modalities of biofeedback information; 2) the computational method in modeling and control of sensory motor neuroprosthetics; 3) the systematic functionality aiming to provide solutions for specific pathological movement disorders; 4) human interfaces such as BCI - but in the case of BCI study, manuscripts should be experimental studies which are applied to sensory/motor neuroprosthetics in patients with motor disabilities.
Computational and Experimental Protein Variant Interpretation in the Era of Precision Medicine by Daniele Dell'Orco,Valerio Consalvi,Silvia Morante,Paola Turina,Tiziana Sanavia,Arthur M. Lesk,Constantina Bakolitsa Pdf
One of the key goals in the postgenomic era is the elucidation of the mechanisms underlying the relationship between genotype and phenotype. In particular, understanding how human genetic and somatic variations are associated with diseases is still an open problem and its solution is a crucial issue for exploiting the possibilities offered by the modern sequencing techniques in the framework of precision and personalized medicine. The increasing amount of data generated by the sequencing initiatives calls for accurate and reliable computational approaches to predict the impact of mutations on the phenotype, and possibly for methods to correlate them with diseases. From the experimental point of view, disease-causing variants are supposed to directly affect protein function, protein stability as well as the kinetics and thermodynamics of protein-protein recognition, and robust validation at the molecular scale is necessary. This approach can be of invaluable help in facing new challenges such as the fast development of effective vaccines.
Advances in Mathematical and Computational Oncology by Doron Levy,George Bebis,Russell C. Rockne,Ernesto Augusto Bueno Da Fonseca Lima,Katharina Jahn,Panayiotis V. Benos Pdf
Peter M.A. Sloot,David Abramson,Alexander V. Bogdanov,Jack J. Dongarra,Albert Y. Zomaya,Yuriy E. Gorbachev
Author : Peter M.A. Sloot,David Abramson,Alexander V. Bogdanov,Jack J. Dongarra,Albert Y. Zomaya,Yuriy E. Gorbachev Publisher : Springer Page : 1168 pages File Size : 47,7 Mb Release : 2003-08-03 Category : Computers ISBN : 9783540448631
Computational Science — ICCS 2003 by Peter M.A. Sloot,David Abramson,Alexander V. Bogdanov,Jack J. Dongarra,Albert Y. Zomaya,Yuriy E. Gorbachev Pdf
Some of the most challenging problems in science and engineering are being addressed by the integration of computation and science, a research ?eld known as computational science. Computational science plays a vital role in fundamental advances in biology, physics, chemistry, astronomy, and a host of other disciplines. This is through the coordination of computation, data management, access to instrumentation, knowledge synthesis, and the use of new devices. It has an impact on researchers and practitioners in the sciences and beyond. The sheer size of many challenges in computational science dictates the use of supercomputing, parallel and distri- ted processing, grid-based processing, advanced visualization and sophisticated algorithms. At the dawn of the 21st century the series of International Conferences on Computational Science (ICCS) was initiated with a ?rst meeting in May 2001 in San Francisco. The success of that meeting motivated the organization of the - cond meeting held in Amsterdam April 21–24, 2002, where over 500 participants pushed the research ?eld further. The International Conference on Computational Science 2003 (ICCS 2003) is the follow-up to these earlier conferences. ICCS 2003 is unique, in that it was a single event held at two di?erent sites almost opposite each other on the globe – Melbourne, Australia and St. Petersburg, Russian Federation. The conference ran on the same dates at both locations and all the presented work was published in a single set of proceedings, which you hold in your hands right now.
Transactions on Computational Systems Biology IV by Luca Cardelli,Stephen Emmott Pdf
This, the 4th Transactions on Computational Systems Biology volume, contains carefully selected and enhanced contributions presented at the first Converging Science conference held at the University of Trento, Italy, in December 2004. Dedicated especially to models and metaphors from biology to bioinformatics tools, the 11 papers selected for the special issue cover a wide range of bioinformatics research, such as foundations of global computing, interdisciplinarity in innovation initiatives, biodiversity, and more.
Parallel and Distributed Computational Intelligence by Francisco Fernández de Vega,Erick Cantú-Paz Pdf
Offering a global snapshot of parallel and distributed computational intelligence today, this volume covers ongoing issues as well as recent exploratory work. Topics discussed include GPUs, Clusters, Grids, volunteer computing, p2p networks and more.
Computational Intelligence in Biomedicine and Bioinformatics by Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-Ella Hassanien Pdf
The purpose of this book is to provide an overview of state-of-the-art methodologies currently utilized for biomedicine and/or bioinformatics-oriented applications. Researchers working in these fields will learn new methods to help tackle their problems.
Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges by Oscar Camara,E. Konukoglu,Mihaela Pop,Kawal Rhode,Maxime Sermesant,Alistair Young Pdf
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challegenges, STACOM 2011, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 28 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on EP simulation challenge, motion tracking challenge, segmentation challenge, and regular papers.
