Project description
Artificial intelligence for diabetes treatment
Diabetes is a chronic metabolic disease that causes serious health complications affecting millions of people and children worldwide. Diabetes requires long-term care treatment from a specialists and patient self-management on a daily basis. Patients’ health has improved with the use of mobile phone applications. However, there is need to identify a clinically relevant app amongst the thousands available in the market. The EU-funded DIABETESMART project proposes a mobile platform for daily diabetes management. The platform is clinically validated at Class IIA and compliant with Europe’s new Medical Device Regulation. It is powered by artificial intelligence, providing individual lifestyle-based and country context-based tailored recommendations. The innovation integrates the user’s blood medical device and wearable of choice, allowing patients to live a normal life.
Objective
Diabetes mellitus, a common chronic disease that is associated with high blood glucose (also called blood sugar) can lead to potentially fatal health complications. Globally, 415 million people were diagnosed with diabetes in 2015, estimated to reach 642 million by 2040. In Europe disease prevalence is high, 66 million people were diagnosed in 2017, estimate to reach 81 million people by 2045, with 28,200 children (bellow 19 years old) diagnosed each year. Diabetes requires long-life care management from a physician care team and patient daily self-management. Improvement of diabetes self-care was shown when people with diabetes used mobile phone application. Yet, the challenge is to identify a clinical relevant App between the thousand diabetes management applications available in the market. Hedia, a Danish pioneer start-up company was founded with the mission to make life easier for people with diabetes. Based on the current challenges, we have developed a mobile platform for the daily diabetes management that outperforms the current stat-of-the-art: clinically validated Class IIA compliant to Europes’s new MDR; an artificial intelligent powered that provides tailored recommendations based on the individuals lifestyle and country context; integrate the user’s blood medical device and wearable of choice and other advanced features that enable people with diabetes live a normal life.
DIABETESMART project targets the diabetes care market, which has an estimate value of €69.10B in 2016, forecast to reach €137.28B by 2022 with a 12.4% CAGR (2016-2022). We aim to offer DIABETESMART to corporates -who will obtain further revenues of €18M per year- and to people with diabetes who will benefit from real-time clinically meaningful insights based on AI by 2021. We foresee to reach revenues of €26.6 million with €75.1 million in cumulative profits and increase our team to at least 25 employees (from current 11) by 2026.
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
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
- medical and health sciences basic medicine pharmacology and pharmacy drug resistance multidrug resistance
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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.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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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.
SME-1 - SME instrument phase 1
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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) H2020-EIC-SMEInst-2018-2020
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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.
2200 KOBENHAVN
Denmark
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.