This
Springer essential explains the theoretical foundations for knowledge-based interpretation of medical laboratory data. Self-organization of biological structure, non-linear dynamics of complex systems and immunological network theories make it possible to describe pathomechanisms and diagnostics, especially of chronic diseases, as an expression of a phenotypic biology and to develop concepts for causal therapies.
The book shows how CSF diagnostics with a diagnostic report integrating all laboratory data can identify disease-typical patterns for the differential diagnosis of bacterial, viral, parasitic, oncological, chronic inflammatory, autoimmunological and psychiatric diseases. A CSF app is provided as a tutorial program.
The translation from German was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
Table of Content
The cerebrospinal fluid – the CSF.- Barrier functions.- CSF diagnostics.- Knowledge base immune reactions in the brain.- Knowledge base chronic diseases.- Knowledge base complex systems.- Knowledge base: biological stability and material self-organization.- Diagnostics of disease as an emergent whole.- Paradigm shift – a scientific-theoretical commentary.
About the author
Prof. Dr. Hansotto Reiber, University of Göttingen, is retired Professor of Neurochemistry. His current work describes biophysical principles in biology and medicine with a focus on complexity sciences.
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