Výsledky vyhledávání - Jesper Nors

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  1. 1
    Incidence of Recurrence and Time to Recurrence in Stage I to III Colorectal Cancer

    Incidence of Recurrence and Time to Recurrence in Stage I to III Colorectal Cancer Autor Jesper Nors, Lene Hjerrild Iversen, Rune Erichsen, Kåre Andersson Gotschalck, Claus L. Andersen

    Vydáno 2023
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  2. 2
    IMPROVE-IT2: implementing noninvasive circulating tumor DNA analysis to optimize the operative and postoperative treatment for patients with colorectal cancer – intervention trial 2. Study protocol

    IMPROVE-IT2: implementing noninvasive circulating tumor DNA analysis to optimize the operative and postoperative treatment for patients with colorectal cancer – intervention trial... Autor Jesper Nors, Tenna Vesterman Henriksen, Kåre Andersson Gotschalck, Therese Juul, Jes Søgaard, Lene Hjerrild Iversen, Claus L. Andersen

    Vydáno 2020
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  3. 3
    Proteomics of colorectal tumors identifies the role of CAVIN1 in tumor relapse

    Proteomics of colorectal tumors identifies the role of CAVIN1 in tumor relapse Autor Ana Martínez‐Val, Leander van der Hoeven, Dorte B. Bekker‐Jensen, Arne Lund Jørgensen, Jesper Nors, Giulia Franciosa, Claus L. Andersen, Jesper B. Bramsen, Jesper V. Olsen

    Vydáno 2025
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  4. 4
    Unraveling the potential clinical utility of circulating tumor DNA detection in colorectal cancer—evaluation in a nationwide Danish cohort

    Unraveling the potential clinical utility of circulating tumor DNA detection in colorectal cancer—evaluation in a nationwide Danish cohort Autor Tenna Vesterman Henriksen, Christina Demuth, Amanda Frydendahl, Jesper Nors, Milkica Nešić, Mads H. Rasmussen, Thomas Reinert, Ole H. Larsen, Claudia Jaensch, Uffe S. Løve, Per Vadgaard Andersen, Thomas Kolbro, Ole Thorlacius‐Ussing, Alessio Monti, Mikail Gögenur, Jeppe Kildsig, Peter Bondeven, Nis H. Schlesinger, Lene Hjerrild Iversen, Kåre Andersson Gotschalck, Claus L. Andersen

    Vydáno 2023
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  5. 5
    Ultrasensitive plasma-based monitoring of tumor burden using machine-learning-guided signal enrichment

    Ultrasensitive plasma-based monitoring of tumor burden using machine-learning-guided signal enrichment Autor Adam J. Widman, Minita Shah, Amanda Frydendahl, Daniel Halmos, Cole C. Khamnei, Nadia Øgaard, Srinivas Rajagopalan, Anushri Arora, Aditya Deshpande, William F. Hooper, J. Quentin, Jake Bass, Mingxuan Zhang, Theophile Langanay, Laura Andersen, Zoe Steinsnyder, Will Liao, Mads H. Rasmussen, Tenna Vesterman Henriksen, Sarah Østrup Jensen, Jesper Nors, Christina Therkildsen, Jesús Alfonso López Sotélo, Ryan Brand, Joshua S. Schiffman, Ronak Shah, Alexandre Pellan Cheng, Colleen Maher, Lavinia Spain, Kate Krause, Dennie T. Frederick, Wendie Den Brok, Caroline Lohrisch, Tamara Shenkier, Christine Simmons, Diego Villa, Andrew J. Mungall, Richard A. Moore, Elena Zaikova, Viviana Cerda, Esther Kong, Daniel Lai, Murtaza Malbari, Melissa Marton, Dina Manaa, Lara Winterkorn, Karen A. Gelmon, Margaret K. Callahan, Genevieve M. Boland, Catherine Potenski, Jedd D. Wolchok, Ashish Saxena, Samra Turajlic, Marcin Imieliński, Michael F. Berger, Samuel Aparício, Nasser K. Altorki, Michael A. Postow, Nicolas Robine, Claus L. Andersen, Dan A. Landau

    Vydáno 2024
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