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.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Illustrationen
13
5 farbige Abbildungen, 13 s/w Abbildungen
XVII, 73 p. 18 illus., 5 illus. in color.
Maße
Höhe: 21 cm
Breite: 14.8 cm
ISBN-13
978-3-662-68839-7 (9783662688397)
DOI
10.1007/978-3-662-68840-3
Schweitzer Klassifikation
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 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.
