title: Diagnostic pathology and laboratory medicine in the age of "omics": a paper from the 2006 William Beaumont Hospital Symposium on Molecular Pathology.
abstract: Functional genomics and proteomics involve the simultaneous analysis of hundreds or thousands of expressed genes or proteins and have spawned the modern discipline of computational biology. Novel informatic applications, including sophisticated dimensionality reduction strategies and cancer outlier profile analysis, can distill clinically exploitable biomarkers from enormous experimental datasets. Diagnostic pathologists are now charged with translating the knowledge generated by the "omics" revolution into clinical practice. Food and Drug Administration-approved proprietary testing platforms based on microarray technologies already exist and will expand greatly in the coming years. However, for diagnostic pathology, the greatest promise of the "omics" age resides in the explosion in information technology (IT). IT applications allow for the digitization of histological slides, transforming them into minable data and enabling content-based searching and archiving of histological materials. IT will also allow for the optimization of existing (and often underused) clinical laboratory technologies such as flow cytometry and high-throughput core laboratory functions. The state of pathology practice does not always keep up with the pace of technological advancement. However, to use fully the potential of these emerging technologies for the benefit of patients, pathologists and clinical scientists must embrace the changes and transformational advances that will characterize this new era.
authors.affiliation: University of Michigan Department of Pathology, Room M242 Medical Science I, 1301 Catherine Rd., Ann Arbor, MI 48109-0602, USA. wgfinn@umich.edu
authors.forename: William G
authors.initials: WG
authors.lastname: Finn
mesh_terms: D019295:Computational Biology; D003933:Diagnosis; D005434:Flow Cytometry; D006801:Humans; D007753:Laboratories; D008511:Medicine; D020411:Oligonucleotide Array Sequence Analysis