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Dynamic risk profiling using serial tumor biomarkers for personalized outcome Prediction

Accurate prediction of long-term outcomes remains a challenge in the care of cancer patients. Due to the difficulty of serial tumor sampling, previous prediction tools have focused on pretreatment factors. However, emerging non-invasive diagnostics have increased opportunities for serial tumor asses...

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書誌詳細
出版年:Cell
主要な著者: Kurtz, David M., Esfahani, Mohammad S., Scherer, Florian, Soo, Joanne, Jin, Michael C., Liu, Chih Long, Newman, Aaron M., Dührsen, Ulrich, Hüttmann, Andreas, Casasnovas, Olivier, Westin, Jason R., Ritgen, Matthais, Böttcher, Sebastian, Langerak, Anton W., Roschewski, Mark, Wilson, Wyndham H., Gaidano, Gianluca, Rossi, Davide, Bahlo, Jasmin, Hallek, Michael, Tibshirani, Robert, Diehn, Maximilian, Alizadeh, Ash A.
フォーマット: Artigo
言語:Inglês
出版事項: 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7380118/
https://ncbi.nlm.nih.gov/pubmed/31280963
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cell.2019.06.011
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