Multidisciplinary Approaches to Theory in Medicine

This volume will be a collection of research. The purpose is to produce and think about multidisciplinary research practice. In this context "theory" links to frameworks of concepts, facts, models, etc, that help to inform practitioners (clinicians, scientists and engineers).

The book will therefore be integrated into the broad spectrum of fields within medicine. To achieve these chapters will be associated with a number of meaningful ways. Each chapter will share the following points:


* similar biomedical area (eg, immunity, neuroscience, endocrinology, pathology, oncology, haematology,.)
* similar multidisciplinary theoretical contexts (eg, modeling, analysis, description, visualization, complex systems,.)
* similar multidisciplinary medical issues and questions (eg, clinical practice, decision making, informatics,.)

· Uniquely explores the role of interdisciplinary exchange in the development and expansion of medical theory
· Timely and insightful essays on medical research, including Werner Arber, Frank Vertosick, and David Weatherall
· Assembles, perspectives on medicine and physiology from biology, statistics, ethics, computer science, philosophy, history
· Uniquely illuminates the social and historical processes
· Reveals the growing role of technology, especially computational modeling, in changing the nature of Western medicine

Foreword
1. Disorders of Haemoglobin: From Phenotype to Genotype
2. Between Bleeding and Thrombosis or Beyond
3. The Theory of Molecular Evolution and its Medical Implications
4. What is a Medical Theory?
5. Medicine as a Moral Epistemology
6. Theory in Medical Education: An Oxymoron?
7. Knowledge, Arguments, and Intentions in Clinical Decision-Making
8. Analogies, Conventions and Expert Systems in Medicine: Some Insights from a XIX
9. Reliability of Measurements in Medical Research and Clinical Practice
10. Advanced Data Mining and Predictive Modeling at the Core of Personalized Medicine
11. Designs and Therapies for Stochastic Neural Systems
12. Mining Scenarios for Hepatitis B and C
13. Modeling the In Vivo Growth Rate of HIV: Implications for Vaccination
14. A Flexible, Iterative Approach is Physiological Modeling
15. System of Biology, Cell Specificity and Physiology
16. Modeling T Cell Activation, Proliferation and Homeostasis
17. A Theory for Complex Systems: Reactive Animation
18. Modeling of Haemodynamics in the Cardiovascular System by Integrating Medical Imaging Techniques and Computer Modeling Tools
19. Vasopressin and Homeostasis - Running Hard to Stay in the Same Place
20. Mathematical Modeling of Angiogenesis and Vascular Adaptation
21. Towards Understanding the Physical Basis of Re-entrant Cardiac Arrhythmias