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Cell Biochemistry Martinsried |
Cytomics,
the multimolecular cytometric analysis of the
cellular heterogeneity of cytomes (cellular systems/organs/body),
access a maximum of information on the apparent molecular cell
phenotype as it results from cell genotype and exposure.
Molecular cell phenotypes in the naturally existing cellular and cell population heterogeneity of disease affected body cytomes contain the information on the future development (prediction) as well as on the present status (diagnosis) of a disease.
Data classifications are considered predictive for individual patients at predictive values >95% for each classified disease category of the learning set while they are prognostic at values <95%.
General concept
for predictive medicine by cytomics:
a.) multiparametric cytometric
determination of
functions
or constituents in disease associated cytomes
b.) exhaustive
analysis
(1,
2)
of all measured numeric parameters
for all cell populations (i.e. in practice for >95% of the
collected cells)
c.) data pattern classification
of this entire information against patient's future disease course
during the learning phase
d.) classification of the embedded test set of patient
data, measured under the same conditions as the learning set but
remaining unknown to the learning process. Typically, every
5th or 10th patient is assigned to the test set prior to the
learning phase to exclude classification biases.
e.) prospective classification of data collected from
subsequent new patients during the clinical evaluation phase
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