Mattias Ohlsson


Research areas and keywords

UKÄ subject classification

  • Bioinformatics (Computational Biology)
  • Cancer and Oncology
  • Bioinformatics and Systems Biology


My research focuses on machine learning and applications within
medicine and biology. I use in particular neural networks, both
shallow and deep models. Current applications include:

  • Biomarker discovery, using proteomic data, for various cancer diseases, with a special focus on early detection.
  • Survival analysis in cardiac transplantation and how to optimize the match between donors and recipients.
  • Decision support for medical images e.g. whole body bone scintigraphy for prostate cancer patients.


Recent research outputs

Mariana Reza, Manfred Wirth, Teuvo Tammela, Virgilio Cicalese, Francisco Gomez Veiga, Peter Mulders, Kurt Miller, Andrea Tubaro, Frans Debruyne, Anup Patel, Christien Caris, Wim Witjes, Ola Thorsson, Per Wollmer, Lars Edenbrandt, Mattias Ohlsson, Elin Trägårdh & Anders Bjartell, 2021, In: European Urology Oncology. 4, 1, p. 49-55

Research output: Contribution to journalArticle

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