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 PreliminariesA Symmetry-Breaking ModelA Data Rate Theorem ModelA Mutual Information ModelA Fragment Size ModelExtending the PerspectiveEmbodiment and EnvironmentChronic InflammationWhat is to be Done?Mathematical AppendixReadership: Graduate students and researchers interested in biological applications of information theory.Key Features:Significantly extends current thinking on Alzheimer's and related chronic diseases
