Event info
Date:08 Nov
Time:9.15 - 15.15
Venue:Lund Observatory, Lund

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

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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


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