An Information Approach to Mitochondrial Dysfunction

Extending Swerdlow's Hypothesis

The monograph applies sophisticated topological symmetry tools to biological applications of information theory, along with a Black–Scholes model invocation of the Data Rate Theorem which links information and control theories. The focus is on statistical mechanics and other models that explore pathological phase transitions — driven by changes in available rates of mitochondrial free energy — in physiological functions, a cutting-edge topic in the study of chronic disease. One of the key focuses is Alzheimer's disease — a relatively simple canonical example.

Contents:

• Mathematical Preliminaries
• A Symmetry-Breaking Model
• A Data Rate Theorem Model
• A Mutual Information Model
• A Fragment Size Model
• Extending the Perspective
• Embodiment and Environment
• Chronic Inflammation
• What is to be Done?
• Mathematical Appendix

Readership: Graduate students and researchers interested in biological applications of information theory.
Key Features:

• Significantly extends current thinking on Alzheimer's and related chronic diseases