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 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. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

Autorentext

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.