BITEM Projects

DebugIT

The DebugIT project is a large-scale integrating project funded within the 7th EU Framework Programme (FP7). The main objectives are to build IT tools that should have significant impacts for the monitoring and control of infectious diseases and antimicrobial resistances in Europe.

BiND: Biomedical Novelty Detection

Background hypothesis. In existing search engines, including the most advanced question-answering architectures, such as EAGLi, answers or documents are provided to the user some relevance-driven ranking criteria. However, providing a ranked list of documents or answers is not sufficient regarding novelty detection; therefore being able to decide whether the retrieved answer is new would provide a major improvement, which could impact the intrinsic definition of relevance. Aims.

ASME: IBM's Anatomic Symbolic Mapping Engine

Google earth for the body, filling the gap between 3D Anatomy and the Electronic Patient Record, using Text Analytics and Ontology Engineering.

UniMed: From UniProt to Medecine

A joint project with the Swiss-Prot research group The Unimed project addresses the important problem of increasing interoperability between data resources from the medical informatics and the bioinformatics domains. We propose to link UniProtKB entries to the two most widely used disease terminologies:

  1. ICD-10, which is the official disease classification provided by the WHO,
  2. MeSH, which is the controlled vocabulary thesaurus used for biomedical and health-related document indexing.

EAGL: Engine for question Answering in Genomic Literature

The goal of this joint project between the Swiss-Prot group of the Swiss Institute of Bioinformatics and the Medical Informatics Service of the University Hospital of Geneva is to explore the development of question-answering systems in functionalgenomics.

SemanticMining

The European Network of Excellence for Biomedical Data Mining and Semantic Interoperability aims at bridging gaps in European research infrastructure and facilitating cross-fertilisation between scientific disciplines such as computer science, system engineering and medical/clinical research.

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