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Content archived on 2024-06-20

Computational intelligence for Bio-pattern analysis in support of eHealthcare

Objective

The BIOPATTERN Network of Excellence is a groundbreaking project that integrates key elements of European research to enable Europe to become a world leader in eHealth. The Grand Vision is to develop a pan-European, coherent and intelligent analysis of a citizen's bio-profile; to make the analysis of this bio-profile remotely accessible to patients and clinicians; and to exploit bio-profile to combat major diseases such as cancer and brain diseases.

A bio-pattern is the basic information (pattern) that provides clues about underlying clinical evidence for diagnosis and treatment of diseases. Typically, it is derived from specific data types, e.g. genomics information and vital bio-signals such as the EEG. A bio-profile is a personal 'fingerprint' that fuses together a person's current and past medical history, bio-patterns and prognosis. It combines data, analysis and predications of possible susceptibility to diseases.

BIOPATTERN proposes to provide novel computational intelligent techniques for bio-pattern analysis and a pan-European integrated, intelligent analysis of an individual's bio-profile. Information from distributed databases will be made available, securely, over the Internet to provide on-line algorithms, libraries and processing facilities for such analysis.

BIOPATTERN integrates the research efforts of 31 institutions across Europe to tackle and reduce fragmentation in the new field of bio-pattern and bio-profile analysis which will underpin eHealthcare in the post genome era. It brings together leading researchers in medical informatics and bio-informatics from academia, the healthcare sector and industry in a new way, harnessing expertise and information to put Europe at the forefront of eHealth.

BIOPATTERN aims to identify how bio-profile could be exploited for individualised healthcare such as disease prevention, diagnosis and treatment. Its ultimate goal is to become a Virtual Research Institute recognised as a world-leading scientific resource.

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.

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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.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

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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.

NoE - Network of Excellence

Coordinator

UNIVERSITY OF PLYMOUTH
EU contribution
No data
Address
DRAKE CIRCUS
PL4 8AA PLYMOUTH
United Kingdom

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Total cost

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.

No data

Participants (29)

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