Cell Biochemistry Martinsried
the multimolecular cytometric analysis of the
cellular heterogeneity of
(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 presently 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%. The effort will be to elevate
this level to >99% through the search for more efficiently
discriminating molecular data patterns.
for predictive medicine by cytomics:
a.) multiparametric cytometric
or constituents in disease associated cytomes
of all measured numeric parameters
for all cell populations (i.e. in practice for >95% of the
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.
Max-Planck-Institut für Biochemie,
Am Klopferspitz 18a, D-82152 Martinsried, Germany,
Tel: +49/89/8578-2518, -2525, Fax: +49/89/8578-2563, INTERNET:
Last Update: Mar.6,2003