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

Galozy, A., Nowaczyk, S., Sant'Anna, A., Mattias Ohlsson & Lingman, M., 2020 Apr, In : International Journal of Medical Informatics. 136, 104092.

Research output: Contribution to journalArticle

Polymeri, E., Sadik, M., Kaboteh, R., Borrelli, P., Enqvist, O., Ulén, J., Mattias Ohlsson, Elin Trägårdh, Poulsen, M. H., Simonsen, J. A., Hoilund-Carlsen, P. F., Johnsson, Å. A. & Edenbrandt, L., 2020 Mar, In : Clinical Physiology and Functional Imaging. 40, 2, p. 106-113 8 p.

Research output: Contribution to journalArticle

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