Ph.d.-forløb

REPAIR-kuben har på tværs af afdelingerne syv tilknyttede ph.d.-forløb. På denne side kan du læse mere om projekterne, samt de ansvarlige ph.d.-studerende.

  • Simone Karlsson Terp, Department of Molecular Diagnostics
    Projekttitel: "Early detection of ovarian cancer and identification of genes affecting drug sensitivity in homologous recombination deficiency."
    Vejledere: Inge Søkilde Pedersen (AFMD/Aalborg UH), Karen Dybkær Sørensen (KI/Aalborg UH)
  • Jeannette Demant Andersen, Nuklearmedicinsk Afdeling
    Projekttitel: "Diagnostic accuracy when staging primary ovarian cancer with FDG PET/CT, prognostic value of semiquantitative PET-biomarkers and the value of FDG PET/CT in different subtypes of ovarian primary cancers; A retrospective study of approximately 1200 patients."
    Vejledere: Helle Zacho (Nuklearmedicinsk Afdeling), Aage (Knudsen Gynækologisk Afdeling)

  • Issa Ismail Issa, Dept of Clinical Medicine
    Projekttitel: "Targeting multidrug resistance mechanisms in Diffuse Large B-cell Lymphoma"
    Vejledere: Karen Dybkær (KI/Aalborg UH), Martin Bøgsted (KI/Clinda)

  • Hulda Haraldsdottir, Dept of Hematology
    Projekttitel: "DNA damage repair in Diffuse Large B-Cell Lymphoma and ovarian cancer: Diagnostic and prognostic tools for treatment strategy"
    Vejledere: Karen Dybkær (KI/AAUH), Inge Søkilde Pedersen (AFMD/Aalborg UH), Rasmus Brøndum (Aalborg UH)

  • Ida Burchard Egendal, Center for Clinical Data Science
    Projekttitel: "Mutational signatures using neural networks for robust stratification of cancer patients"
    Vejledere: Martin Bøgsted (KI/Clinda), Inge Søkilde Pedersen (AFMD/Aalborg UH), Karen Dybkær (KI/AAUH), Rasmus Brøndum (Aalborg UH)
  • Lasse Ringsted Mark, Department of Molecular Diagnostics
    Projekttitel: "Evaluation of homologous recombination deficiency detection algorithms on clinical data"
    Vejledere: Martin Bøgsted (KI/Clinda), Inge Søkilde Pedersen (AFMD/Aalborg UH)

  • Signe Bjerregaard Michelsen, Center for Clinical Data Science
    Projekttitel: "A new hybrid multimodal data fusion method to improving the prediction of response to platinum-based chemotherapy response in ovarian cancer"
    Vejledere: Martin Bøgsted (KI/Clinda), Charles Vesteghem (Clinda), Helle Zacho (Nuklearmedicinsk Afdeling), Lasse Riis Østergaard (Institut for Medicin og Sundhedsteknologi)

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