Project description
Artificial intelligence in cancer diagnosis
As the number of cancer cases worldwide increases, there is a pressing need for prompt and accurate cancer diagnosis. Existing approaches are time-consuming and depend heavily on the knowledge and experience of trained pathologists. To overcome these limitations, the EU-funded AIPACA project aims to develop an artificial intelligence-based software capable of analysing biopsy slides within seconds to identify tumour regions and quantify tumour biomarkers. The software is expected to significantly reduce biopsy processing time and assist diagnosis through deep learning features. Moreover, it will minimise variations in diagnosis, offering a robust and reliable clinical tool.
Objective
MindPeak is an innovative start-up that builds diagnostic support tools for cancer diagnosis. Our Artificial Intelligence (AI) software analyses biopsy slides within seconds to find tumour regions and quantify tumour markers to prepare them for visual inspection by the pathologist. In 2018, the number of diagnosed cancer cases has grown to 18 million globally.
Consequently, the demand for cancer diagnosis to determine appropriate treatment has never been higher. Cancer diagnosis nowadays is a very time-consuming process and depends heavily on the knowledge and experience of specialised pathologists. Unfortunately, the number of experts can no longer meet the quickly increasing demand. As a result, patients must wait longer than necessary for their diagnosis.
To overcome this challenge, MindPeak provides solutions based on deep learning to support pathologists in their diagnosis. Patients benefit from increased accuracy and a faster turn around time of diagnosis as well as reduced costs. The key USP of our AI is its reliability in the clinical context with its variations across and within labs. Funding from the EIC Accelerator will help us with a successful and fast go-to-market of our solutions that cover crucial improvements for cancer patients. With our technology, we address the market for pathology with a current size of $17.3 bn worldwide and an annual growth rate of 6.5%.
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
- medical and health sciences clinical medicine oncology
- medical and health sciences basic medicine pathology
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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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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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-2 - SME instrument phase 2
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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.
20359 Hamburg
Germany
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.