Objective
The MELISSA project aims to provide a clinically validated, effective, trustworthy, and cost-efficient artificial intelligence (AI)-based digital diabetes management solution to support both health care providers (HCPs) and insulin-treated patients with diabetes (PwD) in their daily routine with personalised treatment and care recommendations. The solution is independent of the used glucose monitoring devices and is based on the combined use of already prototyped advanced AI-approaches and innovative tools for quantification of lifestyle and behavioural factors, taking into consideration sex/gender aspects, age, and socio-economic parameters related to the development of diabetes. More specifically, core element of the project is the daily insulin treatment adjustment to ensure glucose control using an already introduced self-learning approach based on reinforcement learning. The approach is data-driven, real-time and of low computational cost and allows daily adjustment of the insulin infusion profile, on the basis of the fluctuations in the patient?s glucose. The approach takes into consideration patients treatment-related (glucose, insulin, and carbohydrate intake) and conceptual information and during the project will be further extended and optimized to include additional lifestyle and behavioural parameters. Furthermore, tools for assessing the risk of short- and long-term complications will assist HCPs in reaching better decisions on adjustments to the treatment schemes. To meet the objectives the consortium brings together partners active in the fields of diabetes (PwD and HCPs), diabetes technology, AI, behavioral sciences, ethics in AI, regulatory affairs, healthcare economics and clinical trials to further co-create, clinically develop, optimize, and clinically validate an AI-based solution for more effective and cost-efficient diabetes management through personalised treatment and care.
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 health sciences
- medical and health sciences clinical medicine endocrinology diabetes
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
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HORIZON.2.1 - Health
MAIN PROGRAMME
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HORIZON.2.1.5 - Tools, Technologies and Digital Solutions for Health and Care, including personalised medicine
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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.
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.
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.
HORIZON-RIA - HORIZON Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-HLTH-2021-DISEASE-04
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
6200 MD Maastricht
Netherlands
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.