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Prostate MR Medical Imaging Biomarker Platform

Project description

Innovative AI-assisted prostate imaging analysis

Finding an anomaly in organs or tissues is essential for introducing measures to delay or prevent disease onset. Spanish Quibim is a high-tech company specialising in AI-assisted medical image processing technologies applied to the creation of imaging biomarkers. The core QUIBIM Precision® medical imaging quantitative analysis platform is used by hospitals and medical research institutions for lung and brain images analyses. The goal of the EU-funded QUIBIM qp-Prostate project is to update the platform with a novel module for the analysis of prostate magnetic resonance images. The new module will include several analysis plugins specifically for prostate cases. Additionally, the project will support regulatory certifications and the safety and effectiveness evaluation of the new medical software.

Objective

Our company, QUIBIM S.L. is a high-tech SME specialized in machine learning and image processing technologies applied to the creation of imaging biomarkers from medical images. The core of our business is QUIBIM Precision®: https://precision.quibim.com/(opens in new window): a world-class medical imaging quantitative analysis platform used by dozens of hospitals and medical research institutions. As of writing, the platform is able to analyse lung and brain images.
After analysing the market, the technology, our own capabilities and the rate of incidence of diseases we have decided to put the focus for the period 2020-2021 on updating the Platform with a novel module addressed to the analysis of prostate MR images. This new module will take the name of qp-Prostate® The module will include several analysis plugins, which focuses on the analysis modules of Diffusion - ADC and Perfusion - Pharmacokinetics, specifically for prostate cases. Finally, before start marketing our solution, as a medical device, we will also need the corresponding Regulatory Certifications, scientific and regulatory reviews to evaluate the safety and effectiveness of the new medical software device.
New horizons for QUIBIM S.L.: Since the QUIBIM was born, we have put tremendous efforts in the development of our own R&D and resulting technologies in automatic data analysis, machine learning and algorithms to allow a better performance and accuracy in medical images explorations, identifying quickly patterns and details not obvious to the human eye. The company wishes to market qp-Prostate®, an image processing software package to be used by trained professionals, including radiologists specialized in prostate imaging, urologists, oncologists and MR technicians. qp-Prostate® will be the first imaging biomarker analysis platform specifically for prostate MR, allowing QUIBIM to lead a novel (and unexploited) market of this sort of imaging biomarkers.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

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CSA-LSP - Coordination and support action Lump sum

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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-INNOSUP-2018-2020

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Coordinator

QUIBIM SOCIEDAD LIMITADA
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.

€ 85 000,00
Address
AVENIDA DE ARAGON 30 PLANTA 13 LETRA I
46021 VALENCIA
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
Este Comunitat Valenciana Valencia/València
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.

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