Objective
Near-normoglycaemia has been established as the control objective for most patients with diabetes. Automated glucose control, the so-called artificial pancreas, would represent the ideal solution for attainment of therapeutic goals in diabetic patients. However, several challenges do exist to effectively realize closed-loop control of blood glucose. In this proposal, two key issues for the success of the artificial pancreas will be addressed: accuracy of continuous glucose monitors (CGM) and management of meals. CGM estimate plasma glucose from measurements taken in the interstitium. However, variations of the plasma/interstitium glucose exchange may occur during dynamic conditions, explaining the poor performance of CGM in the hypoglycaemic range. The glucose clamp technique will be used in diabetic subjects to obtain controlled variations of glycaemia at different levels of insulinemia. Models of blood-interstitium glucose transport will be built and incorporated in advanced calibrations strategies aiming at improving monitors accuracy, as required for closed-loop glycaemic control. Besides, meals are one of the major perturbations to counteract and the main challenge found in current clinical validations of the few existing prototypes of an artificial pancreas. Clinical studies have demonstrated the ability of small manual pre-meal ‘priming’ boluses to reduce postprandial excursions during closed-loop control. Set inversion algorithms have proved in silico its efficiency to compute insulin administration to achieve a tight postprandial control with no hypoglycemia especially for big meals. A rigorous clinical testing of the set-inversion-based meal-control will be carried out and incorporated into closed-loop control strategies. Significant advances in postprandial control are expected. Improvement of the accuracy of CGM under dynamic conditions, as well as of algorithms for the control of meal perturbations, will represent a step ahead closing the loop.
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.
- medical and health sciences clinical medicine endocrinology diabetes
- medical and health sciences medical biotechnology tissue engineering artificial pancreas continuous glucose monitors
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Programme(s)
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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
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2009-IEF
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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.
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
46022 VALENCIA
Spain
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.