Blar i forfatter Det helsevitenskapelige fakultet "Tafavvoghi, Masoud"

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    • Cancer detection for white urban Americans 

      Møllersen, Kajsa; Bongo, Lars Ailo; Tafavvoghi, Masoud (Conference object; Konferansebidrag, 2023-06)
      Development, validation and comparison of machine learning methods require access to data, sometimes lots of data. Within health applications, data sharing can be restricted due to patient privacy, and the few publicly available data sets become even more valuable for the machine learning community. One such type of data are H&E whole slide images (WSI), which are stained tumour tissue, used in ...

    • Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial 

      Rakaee, Mehrdad; Andersen, S.; Giannikou, K.; Paulsen, Erna-Elise; Kilvær, Thomas Karsten; Rasmussen Busund, Lill-Tove; Berg, Thomas; Richardsen, Elin; Lombardi, Ana Paola; Adib, E.; Pedersen, Mona Irene; Tafavvoghi, Masoud; Wahl, Sissel Gyrid Freim; Petersen, R.H.; Bondgaard, A.L.; Yde, C.W.; Baudet, C.; Licht, P.; Lund-Iversen, Marius; Grønberg, Bjørn Henning; Fjellbirkeland, Lars; Helland, Åslaug; Pøhl, M.; Kwiatkowski, D.J.; Dønnem, Tom (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-24)
      Background - We aim to implement an immune cell score model in routine clinical practice for resected non-small-cell lung cancer (NSCLC) patients (NCT03299478). Molecular and genomic features associated with immune phenotypes in NSCLC have not been explored in detail.<p> <p>Patients and methods - We developed a machine learning (ML)-based model to classify tumors into one of three categories: ...