This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computer science tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second part. The mathematical presentation avoids unnecessary formalism, while remaining clear and precise. The book closes with a thorough bibliography, reaching from classic research results to very recent findings. This volume is suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on mathematical and computer science background.

Mathematical Biology has grown at an astonishing rate and has established itself as a distinct discipline. Mathematical modeling is now being applied in every major discipline in the biological sciences. Though the field has become increasingly large and specialized, this book remains important as a text that introduces some of the exciting problems which arise in the biological sciences and gives some indication of the wide spectrum of questions that modeling can address.

John Mingers' new volume, Self-Producing Systems: Implications and Ap plications of Autopoiesis, is a much-needed reference on autopoiesis, a subject penetrating many disciplines today. I can genuinely say that I enjoyed reading the book as it took me stage by stage through a clear and easy-to-grasp understanding of the concepts and ideas of auto poiesis and then, as the book's title suggests, on through their applica tions. I found the summary in Chapter 12 particularly useful, helping to crystalize the main points of each chapter. The book conveyed enthusi asm for the subject and stimulated my interest in it. At times the book is demanding, but only because of the breadth of the subject matter, the terms and concepts associated with its parts, and the challenge of keep ing hold of all this in the mind at once. This is an exceptional text. ROBERT L. FLOOD Hull, UK Preface In recent years Maturana's and Varela's concept of autopoiesis, origi nally a biological concept, has made a remarkable impact not just on a single area, but across widely differing disciplines such as sociology, policy science, psychotherapy, cognitive science, and law. Put very briefly, the term autopoiesis connotes the idea that certain types of sys tems exist in a particular manner-they are self-producing systems. In their operations they continuously produce their own constituents, their own components, which then participate in these same production pro cesses."

With its exploration of the scientific and technological characteristics of systems exploiting molecular recognition between synthetic materials, such as polymers and nanoparticles, and biological entities, this is a truly multidisciplinary book bridging chemistry, life sciences, pharmacology and medicine.
The authors introduce innovative biomimetic chemical assemblies which constitute platforms for recruitment of cellular components or biological molecules, while also focusing on physical, chemical, and biological aspects of biomolecular recognition. The diverse applications covered include biosensors, cell adhesion, synthetic receptors, cell patterning, bioactive nanoparticles, and drug design.

Fluorescence microscopy images can be easily integrated into current video and computer image processing systems. People like visual observation; they like to watch a television or computer screen, and fluorescence techniques are thus becoming more and more popular. Since true in vivo experiments are simple to perform, samples can be directly seen and there is always the possibility of manipulating the samples during the experiments; it is an ideal technique for biology and medicine. Images are obtained by a classical (now called wide-field) fluorescence microscope, a confocal scanning microscope, upright or inverted, with epifluorescence or transmission. Computerized image processing may improve definition, and remove glare and scattered light signal. It also makes it possible to compute ratio images (ratio imaging both in excitation and in emission) or lifetime imaging. Image analysis programs may supply a great deal of additional data of various types, starting with calculations of the number of fluorescent objects, their shapes, brightness, etc. Fluorescence microscopy data may be complemented by classical measurement in the cuvette yr by flow cytometry.

This book deals with the essential philosophical/ethical dimension that concerns the ends and goods entrusted to medicine. It shows that medicine cannot be reduced to its scientific and technical aspects and that the constitutive philosophical aspects of medicine presently are in a state of crisis.

Medicine, besides being a scientifically based art of diagnosing and curing infirmities of many kinds, also possesses an essential philosophical and ethical dimension. It turns into anti-medicine if it no longer stands in the service of those goods and ends that are entrusted to it. Their nature is in no way known by natural science but can be clarified by philosophy. Consequently, medicine suffers from philosophical diseases of different degrees of gravity if its theory and practice are based on errors about its proper ends. The cure from the life-threatening philosophical diseases of medicine lies in a critique of philosophical mistakes that influence the theory and practice of medicine and in an understanding and practical implementation of those ethically relevant goods that constitute its true ends. At a time when these goods are by no means universally recognized or embodied in laws of medicine, some basic philosophical understanding of them and of the foundations of medical ethics is urgently required. The purpose of this volume is to provide this largely neglected part of general and medical education.

Mathematics in Medicine and the Life Sciences grew from lectures given by the authors at New York University, the University of Utah, and Michigan State University. The material is written for students who have had but one term of calculus, but it contains material that can be used in modeling courses in applied mathematics at all levels through early graduate courses. Numerous exercises are given as well, and solutions to selected exercises are included. Numerous illustrations depict physiological processes, population biology phenomena, models of them, and the results of computer simulations. Mathematical models and methods are becoming increasingly important in medicine and the life sciences. This book provides an introduction to a wide diversity of problems ranging from population phenomena to demographics, genetics, epidemics and dispersal; in physiological processes, including the circulation, gas exchange in the lungs, control of cell volume, the renal counter-current multiplier mechanism, and muscle mechanics; to mechanisms of neural control. Each chapter is graded in difficulty, so a reading of the first parts of each provides an elementary introduction to the processes and their models. Materials that deal with the same topics but in greater depth are included later. Finally, exercises and some solutions are given to test the reader on important parts of the material in teh text, or to lead the reader to the discovery of interesting extensions of that material.

The ease of use of the programs in the application to ever more complex cases of disease and pestilence. The lack of need on the part of the student or modelers of mathematics beyond algebra and the lack of need of any prior computer programming experience. The surprising insights that can be gained from initially simple systems models.

As well as examining successful biological control programmes this book analyses why the majority of attempts fail. Off-target and other negative effects of biological control are also dealt with. Chapters contributed by leading international researchers and practitioners in all areas of biological control afford the book a breadth of coverage and depth of analysis not possible with a single author volume. Combined with the use of other experts to review chapters and editorial oversight to ensure thematic integrity of the volume, this book provides the most authoritative analysis of biological control published.
Key aspects addressed include how success may be measured, how successful biological control has been to date and how may it be made more successful in the future. With extensive use of contemporary examples, photographs, figures and tables this book will be invaluable to advanced undergraduate and postgraduate students as well as being a must' for all involved in making biological control successful.

The rapid progress in clinical and experimental immunological research, in addition to the radical change in immunological concepts in recent years, has been accompanied by similar developments in the technical vocabulary, and, as a consequence, frequent widespread confusion. The fourth edition of The Dictionary of Immunology will satisfy the needs of any biologist, clinician or biochemist who requires easy reference to current immunological usage.
This well-established work has been completely revised and updated to include key terms arising from new discoveries in the fast-developing fields of molecular and cellular immunology. The Dictionary of Immunology contains brief descriptions of the most commonly used immunological techniques, as well as definitions, useful in clinical immunology, of immunodeficiency states and autoimmune diseases. Clear illustrations and tables have been added to complement the text, and extensive cross-referencing is used to inform an integrated view.
The Dictionary will serve equally as a handy reference, a companion to other reference texts, or a spelling and fact checker for students, research scientists and those engaged in ancillary activities such as science journalists, and the curious lay reader.
* Special Features:
* Radical revision, including addition of 30% new terms.

During the last couple of years, fractals have been shown to represent the common aspects of many complex processes occurring in an unusually diverse range of fields including biology, chemistry, earth sciences, physics and technology. Using fractal geometry as a language, it has become possible to get a deeper insight into previously intractable problems. Among many others, a better understanding of growth phenomena, turbulence, iteractive functions, colloidal aggregation, biological pattern formation and inhomogenous materials has emerged through the application of such concepts as scale invariance, self-affinity and multifractality.This volume contains a selection of high quality papers that discuss the latest developments in the research of fractals. It is divided into 5 sections and contains altogether 64 papers. Each paper is written by a well known author or authors in the field. Beginning each section is a short introduction, written by a prominent author, which gives a brief overview of the topics discussed in the respective sections.

This book disseminates the latest results and envisages new challenges in the application of mathematics to various practical situations in biology, epidemiology, and ecology. It comprises a collection of the main results presented at the Ninth Edition of the International Workshop "Dynamical Systems Applied to Biology and Natural Sciences - DSABNS", held from 7 to 9 February 2018 at the Department of Mathematics, University of Turin, Italy. While the principal focus is ecology and epidemiology, the coverage extends even to waste recycling and a genetic application. The topics covered in the 12 peer-reviewed contributions involve such diverse mathematical tools as ordinary and partial differential equations, delay equations, stochastic equations, control, and sensitivity analysis. The book is intended to help both in disseminating the latest results and in envisaging new challenges in the application of mathematics to various practical situations in biology, epidemiology, and ecology.

Provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions and will provide insights to researchers about healthcare industry, trends and future perspective. Examines how healthcare systems of the future will operate, by augmenting clinical resources and ensuring optimal patient outcomes. Provides insight about how Edge-AI is revolutionizing decision making, early warnings for conditions, and visual inspection in healthcare. Highlight trends, challenges, opportunities and future areas where Healthcare informatics deal with accessing vast data sets of potentially life-saving information.

This thesis describes the development of biophysically detailed computer models of the human atria and torso to study the underlying mechanisms of cardiac diseases, some of the most common causes of morbidity and mortality. This is a cross-disciplinary project, involving fundamentals of cardiac electrophysiology, physics of excitable media, applied mathematics and high performance scientific computing and visualisation. The author uses computer models to provide insights into the underlying mechanisms of the genesis of atrial fibrillation and develops novel techniques for the monitoring of atrial tachycardia.

Determinism, holism and complexity: three epistemological attitudes that have easily identifiable historical origins and developments. Galileo believed that it was necessary to "prune the impediments" to extract the mathematical essence of physical phenomena, to identify the math ematical structures representing the underlying laws. This Galilean method was the key element in the development of Physics, with its extraordinary successes. Nevertheless the method was later criticized because it led to a view of nature as essentially "simple and orderly," and thus by choosing not to investigate several charac teristics considered as an "impediment," several essential aspects of the phenomenon under investigation might be left out. The Galilean point of view also contains an acknowledgement of the central role played by the causal nexus among phenomena. The mechanistic-deterministic de scription of reality - for instance, a la Laplace - although acknowledging that it is not possible to predict phenomena exactly owing to unavoid able measurement error, is based on the recognition of the their causal nature, even in an ontological sense. Consequently, deterministic predic tion became the methodological fulcrum of mathematical physics. But although mechanistic determinism has had and, in many cases, still has, considerable success in Physics, in other branches of science this situa tion is much less favourable."

Yes, there really is a brain that destroys itself. And it's a brain just like the one in your head. But not every one of the brains like yours will ultimately destroy itself. However, if the destroying begins, then the signs of this are described in what neurologists take to be the symptoms of "neurodegenerative diseases. Those most often encountered are Alzheimer's and Parkinson's disease, but there are many others-surprisingly many, as explained here. This is the first ever evolutionary explanation of these diseases, which sheds new light on their origin, basic nature, previously un-imagined enormous range, and why they so often have fatal consequences. Because of the disabling nature of many of these diseases, they often require the selfless devotion of a caregiver-the caregiver to whom the book is dedicated. The book is directed at the non-specialist, but will also be useful to the specialist.