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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science data mining
- medical and health sciences clinical medicine oncology
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
57001 THERMI-THESSALONIKI
Greece
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.