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Improving Prediction of Prostate Cancer Recurrence using Chemical Imaging
Precise Outcome prediction is crucial to providing optimal cancer care across the spectrum of solid cancers. Clinically-useful tools to predict risk of adverse events (metastases, recurrence), however, remain deficient. Here, we report an approach to predict the risk of prostate cancer recurrence, a...
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| Veröffentlicht in: | Sci Rep |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4348620/ https://ncbi.nlm.nih.gov/pubmed/25737022 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep08758 |
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