Deisboeck / Kresh Complex Systems Science in Biomedicine

2006
ISBN: 978-0-387-33532-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 864 Seiten

Reihe: Topics in Biomedical Engineering. International Book Series

Thomas S. Deisboeck and J. Yasha Kresh

covers the emerging field of systems science involving the application of physics, mathematics, engineering and computational methods and techniques to the study of biomedicine including nonlinear dynamics at the molecular, cellular, multi-cellular tissue, and organismic level. With all chapters helmed by leading scientists in the field, 's goal is to offer its audience a timely compendium of the ongoing research directed to the understanding of biological processes as whole systems instead of as isolated component parts.    
In Parts I & II, provides a general systems thinking perspective and presents some of the fundamental theoretical underpinnings of this rapidly emerging field. Part III then follows with a multi-scaled approach, spanning from the molecular to macroscopic level, exemplified by studying such diverse areas as molecular networks and developmental processes, the immune and nervous systems, the heart, cancer and multi-organ failure.  The volume concludes with Part IV that addresses methods and techniques driven in design and development by this new understanding of biomedical science.

Key Topics Include:
• Historic Perspectives of General Systems Thinking
• Fundamental Methods and Techniques for Studying Complex Dynamical Systems
• Applications from Molecular Networks to Disease Processes
• Enabling Technologies for Exploration of  Systems in the Life Sciences

is essential reading for experimental, theoretical, and interdisciplinary scientists working in the biomedical research field interested in a comprehensive overview of thisrapidly emerging field.  

About the Editors:
Thomas S. Deisboeck is currently Assistant Professor of Radiology at Massachusetts General Hospital and Harvard Medical School in Boston. An expert in interdisciplinary cancer modeling, Dr. Deisboeck is Director of the Complex Biosystems Modeling Laboratory which is part of the Harvard-MIT Martinos Center for Biomedical Imaging.

J. Yasha Kresh is currently Professor of Cardiothoracic Surgery and Research Director, Professor of Medicine and Director of Cardiovascular Biophysics at the Drexel University College of Medicine. An expert in dynamical systems, he holds appointments in the School of Biomedical Engineering and Health Systems, Dept. of Mechanical Engineering and Molecular Pathobiology Program. Prof. Kresh is Fellow of the American College of Cardiology, American Heart Association, Biomedical Engineering Society, American Institute for Medical and Biological Engineering.

Autoren/Hrsg.

Deisboeck, Thomas

Kresh, J. Yasha

Inhaltsverzeichnis

1;ACKNOWLEDGMENTS;6
2;PREFACE;7
3;CONTENTS;11
4;INTRODUCTION;20
4.1;INTEGRATIVE SYSTEMS VIEW OF LIFE: PERSPECTIVES FROM GENERAL SYSTEMS THINKING;21
5;COMPLEX SYSTEMSSCIENCE: THE BASICS;48
5.1;METHODS AND TECHNIQUES OF COMPLEX SYSTEMS SCIENCE: AN OVERVIEW;49
5.2;NONLINEAR DYNAMICAL SYSTEMS;131
5.3;BIOLOGICAL SCALING AND PHYSIOLOGICAL TIME: BIOMEDICAL APPLICATIONS;157
5.4;THE ARCHITECTURE OF BIOLOGICAL NETWORKS;180
5.5;ROBUSTNESS IN BIOLOGICAL SYSTEMS: A PROVISIONAL TAXONOMY;197
6;COMPLEXITY IN MOLECULAR NETWORKS;221
6.1;NOISE IN GENE REGULATORY NETWORKS;222
6.2;MODELING RNA FOLDING;238
6.3;PROTEIN NETWORKS;257
6.4;ELECTRONIC CELL ENVIRONMENTS: COMBINING GENE, PROTEIN, AND METABOLIC NETWORKS;274
7;THE CELL AS A COMPLEX SYSTEM;290
7.1;TENSEGRITY, DYNAMIC NETWORKS, AND COMPLEX SYSTEMS BIOLOGY: EMERGENCE IN STRUCTURAL AND INFORMATION NETWORKS WITHIN LIVING CELLS;291
7.2;SPATIOTEMPORAL DYNAMICS OF EUKARYOTIC GRADIENT SENSING;319
7.3;PATTERNING BY EGF RECEPTOR: MODELS FROM DROSOPHILA DEVELOPMENT;341
8;DEVELOPMENTAL BIOLOGY AND THE CARDIAC SYSTEM;362
8.1;DEVELOPMENTAL BIOLOGY: BRANCHING MORPHOGENESIS;363
8.2;MODELING CARDIAC FUNCTION;381
8.3;CARDIAC OSCILLATIONS AND ARRHYTHMIA ANALYSIS;414
9;THE IMMUNE SYSTEM;428
9.1;HOW DISTRIBUTED FEEDBACKS FROM MULTIPLE SENSORS CAN IMPROVE SYSTEM PERFORMANCE: IMMUNOLOGY AND MULTIPLE-ORGAN REGULATION;429
9.2;MICROSIMULATION OF INDUCIBLE REORGANIZATION IN IMMUNITY;441
9.3;THE COMPLEXITY OF THE IMMUNE SYSTEM: SCALING LAWS;455
10;THE NERVOUS SYSTEM;464
10.1;NEUROBIOLOGY AND COMPLEX BIOSYSTEM MODELING;465
10.2;MODELING SPONTANEOUS EPISODIC ACTIVITY IN DEVELOPING NEURONAL NETWORKS;485
10.3;CLINICAL NEURO-CYBERNETICS: MOTOR LEARNING IN NEURONAL SYSTEMS;509
11;CANCER: A SYSTEMS APPROACH;536
11.1;MODELING CANCER AS A COMPLEX ADAPTIVE SYSTEM: GENETIC INSTABILITY AND EVOLUTION;537
11.2;SPATIAL DYNAMICS IN CANCER;557
11.3;MODELING TUMORS AS COMPLEX BIOSYSTEMS: AN AGENT- BASED APPROACH;573
12;THE INTERACTION OF COMPLEX BIOSYSTEMS;603
12.1;THE COMPLEXITY OF DYNAMIC HOST NETWORKS;604
12.2;PHYSIOLOGIC FAILURE: MULTIPLE ORGAN DYSFUNCTION SYNDROME;629
12.3;AGING AS A PROCESS OF COMPLEXITY LOSS;639
13;ENABLING TECHNOLOGIES;653
13.1;BIOMEDICAL MICROFLUIDICS AND ELECTROKINETICS;654
13.2;GENE SELECTION STRATEGIES IN MICROARRAY EXPRESSION DATA: APPLICATIONS TO CASE- CONTROL STUDIES;675
13.3;APPLICATION OF BIOMOLECULAR COMPUTING TO MEDICAL SCIENCE: A BIOMOLECULAR DATABASE SYSTEM FOR STORAGE, PROCESSING, AND RETRIEVAL OF GENETIC INFORMATION AND MATERIAL;696
13.4;TISSUE ENGINEERING: MULTISCALED REPRESENTATION OF TISSUE ARCHITECTURE AND FUNCTION;731
13.5;IMAGING THE NEURAL SYSTEMS FOR MOTIVATED BEHAVIOR AND THEIR DYSFUNCTION IN NEUROPSYCHIATRIC ILLNESS;756
13.6;A NEUROMORPHIC SYSTEM;804
13.7;A BIOLOGICALLY INSPIRED APPROACH TOWARD AUTONOMOUS REAL- WORLD ROBOTS;820
13.8;VIRTUAL REALITY, INTRAOPERATIVE NAVIGATION, AND TELEPRESENCE SURGERY;830
14;INDEX;842