Mathematical models in physiology

Mathematical models in physiology.

Computational modelling of biological processes and systems has witnessed a remarkable development in recent years. The search-term (modelling OR modeling) yields over 58000 entries in PubMed, with more than 34000 since the year 2000: thus, almost two-thirds of papers appeared in the last 5-6 years, compared to only about one-third in the preceding 5-6 decades. The development is fuelled both b...

Mathematical challenges in integrative physiology.

Traditional approaches to biomedical research are based on the subdivision of biological systems—by length (or time) scales (body, organ, tissue, cell, andmolecule), discipline (biology, physiology, bioengineering, etc.), or sub-systems (cardiovascular, musculoskeletal, gastrointestinal, etc.). These subdivisions, however, make it difficult to unravel the systemic nature of the mechanisms that ...

Uncertainty and variability in computational and mathematical models of cardiac physiology

KEY POINTS Mathematical and computational models of cardiac physiology have been an integral component of cardiac electrophysiology since its inception, and are collectively known as the Cardiac Physiome. We identify and classify the numerous sources of variability and uncertainty in model formulation, parameters and other inputs that arise from both natural variation in experimental data and l...

Mathematical Models in Economics

Advances in Mathematical Models

Title of Document: ADVANCES IN MATHEMATICAL MODELS IN MARKETING. Ashwin Aravindakshan, Doctor of Philosophy, 2007. Directed By: Professor Roland T. Rust, Department of Marketing This dissertation comprises a series of three essays that relate advances made to both theoretical and empirical issues in marketing. The first essay discusses the issue of endogeneity of market share and price in logit...