Multidisciplinary Approaches to Theory in Medicine

Edited by

  • Ray Paton, Department of Computer Science, University of Liverpool, UK
  • Laura McNamara, Exploratory Simulation Technologies, Sandia National Laboratories, Albuquerque, New Mexico, USA

This volume will be a collection of chapters from authors with wide experience in their research field. The purpose is to produce a coherent book that reflects the common theme of theory in medical thinking and multidisciplinary research practice. In this context "theory" relates to frameworks of concepts, facts, models etc that help to inform practitioners (clinicians, scientists and engineers) both within their own fields and as they seek to share dialogue with colleagues from other fields. The book will therefore be integrative across a broad spectrum of fields within medicine. To achieve this the chapters will be associated with others in a number of meaningful ways. Each chapter will share a number of points of contact that will include at least two of the following: *similar biomedical area (e.g., immunity, neuroscience, endocrinology, pathology, oncology, haematology, …) *similar multidisciplinary theoretical contexts (e.g., modelling, analysis, description, visualization, complex systems, …) *similar multidisciplinary medical issues and questions (e.g., clinical practice, decision making, informatics, …)
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Professionals interested in representing information in a visual manner, leveraging models used across multiple disciplines


Book information

  • Published: December 2005
  • Imprint: ELSEVIER
  • ISBN: 978-0-444-51806-4

Table of Contents

Foreword1. Disorders of Haemoglobin: From Phenotype to Genotype2. Between Bleeding and Thrombosis or Beyond3. The Theory of Molecular Evolution and its Medical Implications4. What is a Medical Theory?5. Medicine as a Moral Epistemology6. Theory in Medical Education: An Oxymoron?7. Knowledge, Arguments, and Intentions in Clinical Decision-Making8. Analogies, Conventions and Expert Systems in Medicine: Some Insights from a XIX 9. Reliability of Measurements in Medical Research and Clinical Practice10. Advanced Data Mining and Predictive Modeling at the Core of Personalized Medicine11. Designs and Therapies for Stochastic Neural Systems12. Mining Scenarios for Hepatitis B and C13. Modeling the In Vivo Growth Rate of HIV: Implications for Vaccination14. A Flexible, Iterative Approach to Physiological Modelling15. System Biology, Cell Specificity and Physiology16. Modelling T Cell Activation, Proliferation and Homeostasis17. A Theory for Complex Systems: Reactive Animation 18. Modelling of Haemodynamics in the Cardiovascular System by Integrating Medical Imaging Techniques and Computer Modelling Tools 19. Vasopressin and Homeostasis – Running Hard to Stay in the Same Place20. Mathematical Modelling of Angiogenesis and Vascular Adaptation21. Towards Understanding the Physical Basis of Re-entrant Cardiac Arrhythmias