Contact Person
    Helen Pettersson

    Senior Project Manager
    Email: hp@mva.org
    Phone: (M) +45 2337 0040
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    Fika-to-Fika Workshop: Language Technology in Medicine and Life Sciences

    In medicine and life sciences we are overloaded with different forms of text and speech. Texts in the form of electronic health records, genomic sequences, scientific articles, twitter feeds or patient questionnaires can be analysed to gain new scientific insights. Speech technology can be used in health apps and chatbots, to extract information from doctor-patient-dialogues or to direct medical robots. This workshop will cover the different application areas of language technology in medicine and life sciences as well as the methods used in this exciting and broad field.

    Date: 8 November, 2019
    Time: 09:15 – 15:15
    Host: AI Lund (AIML@LU)
    Venue: Lundmarksalen, Lund Observatory (next to BMC), Sölvegatan 27, Lund

    Read more and sign up

    The program will consist of talks, demonstrations and networking opportunities and cover a broad range of topics including but not limited to:

    • natural language processing concepts and methods
    • speech technology
    • artificial intelligence approaches in language technology
    • examples of language technology research at Lund University
    • artificial intelligence and e-health environment in Lund

    Program

    09:15-10:00 Fika and mingle
    10:00-10:10  Welcome and overview over AI activities in Lund
    Sonja Aits, Faculty of Medicine, Lund University
    10:10-11:00 Overview over language technology/BioNLP and its use for biomedical text mining
    Sonja Aits
    11:00-11:30 Finding Things in Strings
    Marcus Klang, Department of Computer Science, Lund university
    11:30-12:00 Reading molecular texts with Deep Learning
    Nikolay Oskolkov, National Bioinformatics Infrastructure Sweden (NBIS
    12:00-13:00 Lunch break
    13:00-13:30 Automatic classification of content in abstracts of epidemiological papers
    Johan Frid, Humanities Lab, Lund University
    13:30-14:00 Artificially Intelligent use of Registers – Predicting heart disease in the Emergency Room
    Anders Björkelund, Lund University
    14:00-14:30 Diagnosing mental health with words analysed by AI
    Sverker Sigström, Lund University
    14:30-14:40 Closing questions and remarks
    14:40-15:10 Fika and mingle

    It may be possible to add a short talk. If you are interested, please contact the organizer Sonja Aits by email: sonja.aits@med.lu.se

    In collaboration

     AI Lund (AIML@LU), eHealth@LU, Medicon Valley Alliance, LINXSeSSENCE, the Lund branch of the RSG-Sweden network, and the COMPUTE research school