Data-driven precision medicine: PreMed phase 2 report

Jaakko Lähteenmäki (Editor), Richard Fagerström, Mark van Gils, Juha Pajula, Tomi Sorasalmi, Anna-Leena Vuorinen, Peter Ylén

Research output: Book/ReportReport

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This report summarizes PreMed project activities carried out in phase 2 (1.11.2018 - 31.12.2019). The activities have been focused in three main areas: biobank study (research protocol, data collection, data analysis environment setup), ecosystem simulation model and dissemination (project workshops and other events). Through the retrospective study combining data resources from three biobanks and national registries the PreMed project aims to provide evidence on the benefits of genetic testing in guiding drug therapy. In general, PreMed provides information and experiences of the processes related to exploiting health data resources. This report outlines the research study setting and provides a summary of the study status and experiences from the data collection phase.

The ecosystem model is targeted for simulation of various evolution paths of the data-driven precision medicine ecosystem. In particular, the simulation model aims to provide support for the selection of public financing strategies to boost ecosystem growth. The model development and its parameter setting is still under development. The report provides an overview of the model and some initial simulation results. The project has organized three project workshops for collecting and sharing information between project partners. Collected information on national developments and examples of international activities are summarized in the report.
Original languageEnglish
PublisherVTT Technical Research Centre of Finland
Commissioning bodyBusiness Finland
Number of pages43
Publication statusPublished - 14 Feb 2020
MoE publication typeD4 Published development or research report or study

Publication series

SeriesVTT Tutkimusraportti


  • precision medicine
  • personalized medicine
  • secondary use
  • artificial intelligence
  • business ecosystem


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