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Association studies assisted by inference and semantic technologies

Association studies assisted by inference and semantic technologies

Objective

Cervical cancer is the second most common cancer worldwide with 60000 new cases and 30000 deaths each year in Europe alone, despite a significant progress in early diagnosis and treatment. Recent trends in medical research combine genetic with clinical data and perform association studies among environmental agents, virus characteristics and genetic attributes, in order to identify new markers of risk, diagnosis and prognosis.

While the number of studies describing phenotype-genotype associations is rapidly increasing, progress is hindered by the segmentation of various efforts and their corresponding datasets. The main objective of ASSIST is to facilitate the research for cervical cancer through a system that will virtually unify multiple patient record repositories, physically located in different medical centres/hospitals. Innovative, knowledge intensive semantic modelling, fuzzy inferencing and data mining techniques will be developed to this end. ASSIST's inference engine will translate medical concepts into syntactic values that legacy systems may perceive and support the process of evaluating medical hypotheses and contacting association studies.

The unification of participating archives, containing both clinical and genetic data, into a single medical knowledge source will increase research flexibility by allowing the formation of study groups 'on demand' and by recycling patient records in new studies. This approach is expected to benefit the study of gynaecological neoplasias, whose evaluation requires long-term studies including referral to patients' antecedents and descendants. ASSIST will incorporate a quality assurance mechanism to resolve security and ethical issues.

The consortium comprises four IT research partners, four developers, and three research hospitals. The gynaecological clinics in these hospitals, already owning a sizeable amount of clinical and genetic data, will attempt to uncover relations between HPV, patient habits and patient genotype.

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Coordinator

CENTRE FOR RESEARCH AND TECHNOLOGY HELLAS

Address

6th Km Charilaou-Thermi Road
57001 Thermi-Thessaloniki

Greece

Administrative Contact

Participants (10)

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ARISTOTLE UNIVERSITY OF THESSALONIKI

Greece

BENCHMARK PERFORMANCE LIMITED

United Kingdom

BIRKBECK COLLEGE - UNIVERSITY OF LONDON

United Kingdom

CHARITE-UNIVERSITATSMEDIZIN BERLIN

Germany

CUSTODIX NV

Belgium

INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS

Greece

RESEARCH IN ADVANCED MEDICAL INFORMATION AND TELEMATICS VZW

Belgium

SWORD TECHNOLOGIES SA

Luxembourg

TECH@SPREE ENGINEERING GMBH

Germany

UNIVERSITAT AUTONOMA DE BARCELONA

Spain

Project information

Grant agreement ID: 027510

  • Start date

    1 January 2006

  • End date

    31 December 2008

Funded under:

FP6-IST

  • Overall budget:

    € 4 014 586

  • EU contribution

    € 2 630 000

Coordinated by:

CENTRE FOR RESEARCH AND TECHNOLOGY HELLAS

Greece