What's your worst nightmare as a doctor? Missing a life-threatening condition must be among the biggest fears for health professionals. But sometimes the clue to the diagnosis lies in just a single symptom. Alarm Bells in Medicine brings you up to speed on recognising the symptoms of serious illnesses. Internationally renowned authors list the most crucial presenting symptoms in their own specialties that should ring the alarm bells for you. They provide clear information on diagnosis and action. Organised under the relevant specialties, the information is quick and easy to find. Since patients disclose alarm symptoms in all clinical settings, this book is as relevant for consultants as it is for GPs, as useful for junior doctors as it is for medical students. Special Features of this book: Answers the express need of doctors to avoid making diagnostic errors Each chapter is written by a leading expert in the field Concise and easy to use
The Novartis Foundation Series is a popular collection of the proceedings from Novartis Foundation Symposia, in which groups of leading scientists from a range of topics across biology, chemistry and medicine assembled to present papers and discuss results. The Novartis Foundation, originally known as the Ciba Foundation, is well known to scientists and clinicians around the world.
This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the standard clustering methods traditionally used. From the contents: * Understanding and Preprocessing Microarray Data * Clustering of Microarray Data * Reconstruction of the Yeast Cell Cycle by Partial Correlations of Higher Order * Bilayer Verification Algorithm * Probabilistic Boolean Networks as Models for Gene Regulation * Estimating Transcriptional Regulatory Networks by a Bayesian Network * Analysis of Therapeutic Compound Effects * Statistical Methods for Inference of Genetic Networks and Regulatory Modules * Identification of Genetic Networks by Structural Equations * Predicting Functional Modules Using Microarray and Protein Interaction Data * Integrating Results from Literature Mining and Microarray Experiments to Infer Gene Networks The book is for both, scientists using the technique as well as those developing new analysis techniques.
A comprehensive overview of recent advances, from current basic research and epidemiology, to novel therapeutic strategies and clinical management. Here, the leading scientists who have made major advances in the field provide up-to-date reviews and describe their current knowledge and concepts. As such, this is the first volume to summarize the implications of the meningococcus genome-sequencing project, emphasizing the novel strategies in vaccine development. Following a look at the history, the authors go on to treat the epidemiology of meningococcal disease, as well as the genetics, structure and function of virulence factors. Further chapters cover cross-talk between meningococci and host cells, genomics and immunobiology. The result is a standard handbook for all scientists working in the field. While aimed at advanced specialists in basic research, epidemiologists, public health workers, vaccine developers and clinicians, the book is equally appropriate as introductory reading for graduates embarking on their career in this field.
Presenting the main concepts, this book leads students as well as advanced researchers from different disciplines to an understanding of current ideas in the complex field of comprehensive experimental investigation of biological objects, analysis of data, development of models, simulation, and hypothesis generation. It provides readers with guidance on how a specific complex biological question may be tackled: – How to formulate questions that can be answered – Which experiments to perform – Where to find information in databases and on the Internet – What kinds of models are appropriate – How to use simulation tools – What can be learned from the comparison of experimental data and modeling results – How to make testable predictions. The authors demonstrate how mathematical concepts can illuminate the principles underlying biology at a genetic, molecular, cellular and even organism level, and how to use mathematical tools for analysis and prediction.
The Novartis Foundation Series is a popular collection of the proceedings from Novartis Foundation Symposia, in which groups of leading scientists from a range of topics across biology, chemistry and medicine assembled to present papers and discuss results. The Novartis Foundation, originally known as the Ciba Foundation, is well known to scientists and clinicians around the world.
The Novartis Foundation Series is a popular collection of the proceedings from Novartis Foundation Symposia, in which groups of leading scientists from a range of topics across biology, chemistry and medicine assembled to present papers and discuss results. The Novartis Foundation, originally known as the Ciba Foundation, is well known to scientists and clinicians around the world.
The Novartis Foundation Series is a popular collection of the proceedings from Novartis Foundation Symposia, in which groups of leading scientists from a range of topics across biology, chemistry and medicine assembled to present papers and discuss results. The Novartis Foundation, originally known as the Ciba Foundation, is well known to scientists and clinicians around the world.
The Novartis Foundation Series is a popular collection of the proceedings from Novartis Foundation Symposia, in which groups of leading scientists from a range of topics across biology, chemistry and medicine assembled to present papers and discuss results. The Novartis Foundation, originally known as the Ciba Foundation, is well known to scientists and clinicians around the world.
This work focuses on the autoimmune processes that have now been proven to underlie a number of serious diseases, including diabetes mellitus, rheumatoid arthritis and multiple sclerosis. Papers explore the rapidly expanding developments in research on immune response and regulation, and their potential in the development of treatments for autoimmune diseases. The wide range of subjects covered here include: the nature of intracellular and cell surface-derived ``self'' antigens; competing theories of the generation of immune tolerance and their implications of current theories for research and treatment; possible links between autoimmunity and genetic complement deficiency; the contributions of interferons and class II HLA antigen expression to autoimmunity; and the potential of monoclonal antibodies and other biotechnological advances in treating human autoimmune conditions.