| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6125303 | Osteoarthritis and Cartilage | 2012 | 14 Pages |
Abstract
Novel OA biomarkers are needed for sub-clinical disease diagnosis. Proteomic techniques are beginning to yield useful data and deliver new OA biomarkers in serum and urine. Combining biochemical markers with tissue and cell imaging techniques and bioinformatics (i.e., machine learning, clustering, data visualization) may facilitate the development of biomarker combinations enabling earlier detection of OA.
Keywords
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Authors
A. Mobasheri,