Jan-Eric Litton

Jan-Eric Litton

Professor Emeritus/Emerita
Visiting address: Nobels väg 12a, 17165 Solna
Postal address: C8 Medicinsk epidemiologi och biostatistik, C8 Administration, 171 77 Stockholm

About me

  • Professor Emeritus of Biomedical Computer Science.

    Master of Science, Royal Institute of Technology, Stockholm 1975
    Ph.D., Karolinska Institutet 1983
    Post Doc, The Research Medicine Department of Lawrence Berkeley Laboratory and Donner Laboratory of the University of California, USA 1986-1987
    Assistant professor (docent) in Biomedical Technology, Karolinska Institutet 1990


  • Ongoing projects

    BBMRI.se, established by The Swedish Research Council (Vetenskapsrådet), is a national large-scale research infrastructure whose purpose is to build and develop effective systems for saving and analyzing biological samples.The general aim is to develop an infrastructure for a Biobank Information Management System - BIMS, connecting large hospital and research databases in Sweden with the possibility of linking information about phenotypes and genotypes.

    The role of ESFRI (European Strategy Forum on Research Infrastructures) is to support a coherent approach to policy-making on research infrastructures in Europe, and to act as an incubator for international negotiations about concrete initiatives. ESFRI brings together representatives of EU Member States and Associated States, appointed by Ministers in charge of Research, and one representative of the European Commission.

    Half a million Swedes will be contacted for information concerning their health, lifestyle and exposures, and for donation of blood samples. At project start (baseline), individuals will be contacted for assessments by age groups. Sampling for blood will be done by LifeGene staff at hospital laboratories and/or in mobile units.

    e-epidemiology – web-based questionnaires:
    The aim is to implement and evaluate the use of web-based questionnaires as opposed to paper-based questionnaires in otherwise standard epidemiological study design.

    e-epidemiology – mobile phones:
    The aim is to evaluate the use of mobile phones (SMS) and stationary telephones (IVR) as a tool in e-epidemiology.

    e-epidemiology – computerized programs:
    The aim is to evaluate the possibilities of using computerized programs over the Internet for testing physical functions connected to epidemiological trails.

    Creation of an extensive healthcare information discovery platform which will act as the underlying research platform on which we develop our text analysis capabilities in Swedish.


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