What we do

The BioMeXT group specializes in Information Extraction from biomedically relevant textual sources, such as the scientific literature, clinical records, or social media. We focus in particular on the extraction of domain-specific entities (such as genes, drugs, diseases), and their semantic relationships (e.g. gene-disease associations). Our tools are often evaluated through participation in community-run evaluation challenges (e.g. BioCreAtIvE). We also provide an environment for Assisted Curation (ODIN), which is used in the curation pipeline of the RegulonDB database, in an NIH-funded project.

Main publications 2018

Find out more about the Group’s activities

Members

University zurich

Fabio Rinaldi
BioMeXT: Biomedical Information Extraction
University of Zurich
Group Webpage

Domains of activity:

  • Text mining and machine learning
  • API
  • Database curation
  • Electronic health record
  • Machine learning
  • Ontology
  • Semantic web format
  • Software engineering
  • Text mining

Domains of application:

  • Basic research
  • Medicine and health

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