Project description
Autonomous blood drawing device
Blood drawing is the only step in blood testing that is currently not automated. Lab test errors often happen during blood draw and may lead to misdiagnosis or complications including nerve injury. With EU funding, researchers can develop devices that can autonomously draw blood from a patient. Introduction of this technology will decrease risk of diagnostic errors and increase safety during blood draw. Based on real-time image recognition software, the technology has been tested on a number of images to create a 3D vein image. Advanced robotic manipulation will enable high needle precision that is impossible to achieve by medical personnel. The current phase of the project involves optimisation of the device prototype and testing in clinical trials.
Objective
~500 million blood draws are missed every year, with great consequences. The most important complication is nerve injury, occurring in approximately a million cases. Nerve injury can even lead to permanent disablement. In addition to direct complications for patients, blood drawing presents real issues for clinical laboratories. Blood drawing is the only step in the blood testing process that is not automated. The majority of lab errors occur during the blood draw, accounting for more than an estimated 160M diagnostic errors leading to misdiagnosis and -treatment plus ~€10B in yearly costs for society. Furthermore, operational costs for laboratories are high and blood drawing personnel is difficult to find.
The VD-1 can autonomously draw blood from patients. Willingness to use a device is very high. The majority of patients visiting the hospital for a blood draw are willing to try the VD-1. For laboratories, the VD-1 will reduce diagnostic errors because of standardization of the process. Moreover, labs can save on operational cost and increase capacity. The benefits are clear to our (European) potential customers, who have invested, signed letters of intent to purchase and are keen to collaborate.
The technology of the VD-1 (three patents applied) consists of real-time image recognition software based on AI, tested on a vast number of images, able to create a 3D vein image despite difficult conditions. Advanced robotic positioning ensures high needle precision, impossible to achieve by a human. For ultimate safety, the needle position can be adjusted based on patient movements. The overall objectives of the BRAVE project are to optimize prototype 2 and test this optimization in the BRAVE trial, subsequently industrialize and validate the positioning system with as result the fabrication of the 0-series.
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 software
- natural sciences computer and information sciences artificial intelligence computer vision image recognition
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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 - SME instrument
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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.
3526 KS Utrecht
Netherlands
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.