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CLOUD-BASED MULTIMODAL NEUROIMAGING PLATFORM

Project description

A computer-based analytical tool to diagnose brain diseases

Diagnosis of neurodegenerative diseases such as Alzheimer’s and Parkinson’s is undertaken by physicians who are required to evaluate multiple tests and medical images. The subjective nature of these interpretations often leads to misdiagnosis, especially at the early stages of the disease. The mission of the EU-funded Neurocloud project is to improve the diagnosis of brain diseases. To achieve this, researchers have generated a novel algorithm that allows the fast analysis and comparison of multiple medical images. The project is supporting the feasibility assessment of this diagnostic process and exploring its commercialisation prospects.

Objective

One of the main socioeconomics challenges to be faced in the next decades will be the prevalence of neurodegenerative diseases (such as Alzheimer’s and Parkinson’s) due to population ageing. Today, diagnosis, treatment and monitoring of such illness is complex, a laborious process completed by a limited set of Neurologist experts who need to manually process and compare images from multiple Brain medical imaging systems (MRI, PET and SPECT). While early detection is the key to reduce costs and impact of the diseases, they are routinely under-diagnosed by up to 60-80% in the very early stages. One of the main weaknesses of the diagnostic process is the physician’s visual assessment due to the current subjective interpretation of complex images.

Qubiotech was created in 2014, with a mission to radically speed-up and improve brain diseases diagnostic work flow. Spun off from the University Hospital of Santiago de Compostela and based on a novel algorithm for fast composite multimodal and quantitative analysis of medical images. We have a product that can forge a new way to do things. Rapidly increasing diagnosis speeds whilst lowering costs, our aim is to overhaul patient treatment in this critical sector.

We now want to finalise the feasibility assessment for our entire product roadmap whilst confirming that we have everything in place to achieve the detected opportunity. Aside from helping to alleviate the incoming ageing societal challenge, we aim to plant our company as the European leader of a new sector and drive revenues of 15.5M€ by 2022.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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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.

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.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

QUBIOTECH HEALTH INTELLIGENCE SL (R.M.A CORUNA)
Net EU contribution

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.

€ 50 000,00
Address
REAL N 24-1
15001 A Coruna
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Noroeste Galicia A Coruña
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
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.

€ 71 429,00
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