Ngā hua rapu - Grannum R. Sant

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  1. 1
    Pentosan polysulfate sodium for therapyof interstitial cystitis

    Pentosan polysulfate sodium for therapyof interstitial cystitis mā S. Grant Mulholland, Grannum R. Sant, Phillip M. Hanno, David R. Staskin, Lowell Parsons

    I whakaputaina 1990
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    Artigo
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  2. 2
    A urine-based Exosomal gene expression test stratifies risk of high-grade prostate Cancer in men with prior negative prostate biopsy undergoing repeat biopsy

    A urine-based Exosomal gene expression test stratifies risk of high-grade prostate Cancer in men with prior negative prostate biopsy undergoing repeat biopsy mā James M. McKiernan, Mikkel Noerholm, Vasisht Tadigotla, Sonia Kumar, Phillipp Torkler, Grannum R. Sant, Jason Alter, Michael Donovan, Johan Skog

    I whakaputaina 2020
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    Artigo
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  3. 3
    Pre-diagnosis urine exosomal RNA (ExoDx EPI score) is associated with post-prostatectomy pathology outcome

    Pre-diagnosis urine exosomal RNA (ExoDx EPI score) is associated with post-prostatectomy pathology outcome mā Alexander Kretschmer, Ronald Tutrone, Jason Alter, Elena Berg, Christian Fischer, Sonia Kumar, Phillipp Torkler, Vasisht Tadigotla, Michael Donovan, Grannum R. Sant, Johan Skog, Mikkel Noerholm

    I whakaputaina 2022
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  4. 4
    ExoDx prostate test as a predictor of outcomes of high-grade prostate cancer – an interim analysis

    ExoDx prostate test as a predictor of outcomes of high-grade prostate cancer – an interim analysis mā Ronald Tutrone, Ben Lowentritt, Brian P. Neuman, Michael Donovan, Elliot Hallmark, T. Jeffrey Cole, Yiyuan Yao, Claire Biesecker, Sonia Kumar, Vinita Verma, Grannum R. Sant, Jason Alter, Johan Skog

    I whakaputaina 2023
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  5. 5
    Live-cell phenotypic-biomarker microfluidic assay for the risk stratification of cancer patients via machine learning

    Live-cell phenotypic-biomarker microfluidic assay for the risk stratification of cancer patients via machine learning mā Michael S. Manak, Jonathan S. Varsanik, Brad J. Hogan, Matt J. Whitfield, Wendell R. Su, Nikhil S. Joshi, Nicolai Steinke, Andrew Min, Delaney Berger, Robert J. Saphirstein, Gauri Dixit, Thiagarajan Meyyappan, Hui‐May Chu, Kevin Knopf, David Albala, Grannum R. Sant, Ashok C. Chander

    I whakaputaina 2018
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