Filip Gedin

Filip Gedin

Affiliated to Research
Visiting address: Nobels väg 9, D3, 17165 Solna
Postal address: K8 Klinisk neurovetenskap, K8 Neuro Jensen, 171 77 Stockholm

About me

  • I am a health economist and defended my doctoral thesis in December 2020 at Karolinska Institutet. My dissertation, titled “The Burden of Back Pain: Evaluation of Costs and Health Outcomes”, focused on analyzing costs and health outcomes related to back pain. After completing my doctoral studies, I now hold the position of Postdoc in the Pain Neuroimaging Lab research group at Karolinska Institutet.

    Research Focus: My postdoc work centers around pain and pain mechanisms. In the PrePain project, we investigate how chronic pain arises by linking brain imaging data with national registries. I am also involved in research projects related to the cost-effectiveness of various pain treatments, costs associated with suicide and mental health, and placebo research.

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Grants

  • Swedish Research Council for Health Working Life and Welfare
    1 January 2023 - 31 December 2026
    Long-term pain is a major public health issue in Sweden and is responsible for extensive suffering and high sickness absence. Even though pain have a considerable impact on both the individual as well as the society there are still many unanswered questions. The aim of this postdoc project is to answer one of the most central questions, why do some humans is going to develop long-term pain and others do not.PrePain is a prospective cohort study where large amount of brain imaging data will be collected and combined with registry data from Swedish registries. Overall, this creates a unique opportunity to identify risk factors for individuals to develop long-term pain. PrePain reuse brain imaging data from pain-free individuals and use the registries to follow the information entered for these individuals through the Swedish registries. In this project we will extract registry-based data for the 200 first individuals in the PrePain database. This information will be the basis for an analytical model, which purpose is to identify risk factors for the development of long-term pain.Brain imaging information combined with information on the individuals quality of life and self-rated pain sensitivity will be analyzed together with information regarding sociodemographic and socioeconomic factors. Through this analysis, we hope to be able answer  which factors is the key factor in the development of long-term pain.

Employments

  • Affiliated to Research, Department of Clinical Neuroscience, Karolinska Institutet, 2025-2027
  • Postdoctoral Researcher, Department of Clinical Neuroscience, Karolinska Institutet, 2023-2025

Degrees and Education

  • Degree Of Doctor Of Philosophy, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, 2021
  • Degree Of Master Of Medical Science 120 Credits, Karolinska Institutet, 2013
  • Degree Of Bachelor Of Medical Science, Karolinska Institutet, 2011

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