title: Cytomics in predictive medicine.
abstract: Patient-specific, disease-course predictions with >95% or >99% accuracy during therapy would be highly valuable for everyday medicine. If these predictors were available, disease aggravation or progression, frequently accompanied by irreversible tissue damage or therapeutic side effects, could then potentially be avoided by early preventive therapy. The molecular analysis of heterogeneous cellular systems (cytomics) by cytometry in conjunction with pattern-oriented bioinformatic analysis of the multiparametric cytometric and other data provides a promising approach to individualized or personalized medical treatment or disease management. As a consequence, better patient care and new forms of inductive scientific hypothesis development based on the interpretation of predictive data patterns are at reach.
authors.forename: Günter K
authors.initials: GK
authors.lastname: Valet
authors.forename: Attila
authors.initials: A
authors.lastname: Tárnok
mesh_terms: D019295:Computational Biology / Q000639:trends*; D005434:Flow Cytometry / Q000639:trends*; D006801:Humans; D010336:Pathology / Q000639:trends*; D011237:Predictive Value of Tests; D011379:Prognosis