| Literature DB >> 12717684 |
Günter K Valet, Attila Tárnok.
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. Copyright 2003 Wiley-Liss, Inc.Entities:
Mesh:
Year: 2003 PMID: 12717684 DOI: 10.1002/cyto.b.10035
Source DB: PubMed Journal: Cytometry B Clin Cytom ISSN: 1552-4949 Impact factor: 3.058