What we do

In the Text Mining Group, we carry out activities in semantic interoperability and text analytics applied to the health and life sciences. Previously hosted by the Radiology and Medical Informatics Department of the University Hospitals of Geneva, our group moved to the University of Applied Sciences Geneva (HES-SO- HEG Geneva) in 2008. We develop text mining solutions to support both the annotation of curated databases and the work of a wide range of biomedical professionals from drug designers to clinicians. We thus develop specific biomedical decision-support systems, in particular in oncology and molecular pathology.

Find out more about the Group’s activities

Main publications 2020

  • Gobeill J et al.
    SIB Literature Services: RESTful customizable search engines in biomedical literature, enriched with automatically mapped biomedical concepts
    Nucleic Acids Research, 10.1093/nar/gkaa328
  • Caucheteur D et al.
    Text-Mining Services of the Swiss Variant Interpretation Platform for Oncology
    Stud Health Technol Inform., 10.3233/SHTI200288
  • Hatos A et al.
    DisProt: intrinsic protein disorder annotation in 2020
    Nucleic Acids Research, 10.1093/nar/gkz975


University geneva

Patrick Ruch
Text Mining
HES-SO - Geneva School of Business Administration (HEG)
Group Webpage

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Domain(s) of activity:

  • Text mining and machine learning
  • Biochemistry
  • Database curation
  • Data mining
  • Drug design
  • Electronic health record
  • Functional genomics
  • Gene regulation
  • Machine learning
  • Oncology
  • Protein interactions
  • Software engineering

Domain(s) of application:

  • Medicine and health