Project description
Diagnostic software for reliable personalised cancer treatment
The oncology community widely agrees on the need for personalised cancer treatment decisions. Many patients receive unnecessary treatment, with up to 90 % of those undergoing adjuvant chemotherapy experiencing no benefits and often suffering severe side effects. The EIC-funded Histotype Px project introduces pioneering diagnostic software developed by DoMore Diagnostics (DoMore Dx) that enables personalised cancer treatment in a straightforward and cost-effective manner. This solution uses deep learning algorithms applied to cancer tissue images in local labs equipped with digital pathology tools. In the case of colorectal cancer (CRC), it can categorise patients into low, intermediate, or high-risk groups, potentially sparing up to 250 000 patients from unnecessary chemotherapy.
Objective
There is consensus in the oncology community that there is a large need for personalized cancer treatment decisions as patients suffer from large-scale overtreatment. Up to 90% of patients receiving adjuvant chemotherapy have no effect, many suffer severe side effects. DoMore Diagnostics (DoMore Dx) delivers pioneering diagnostics software that enables personalized cancer treatment in a simple and cost-efficient way. We provide deep learning algorithms applied to cancer tissue whole slide images (WSI) in the adjuvant chemotherapy setting. With end-to-end deep learning we have taken a completely new approach to this challenge. Our test can be run in local labs with digital pathology equipment and does not consume any tissue. DoMore Dx is personalized medicine made simple.
In CRC, our test can stratify patients into low, intermediate, or high risk with a hazard ratio >10. This information can be used to take up to 250,000 patients out of chemotherapy and save 4 billion EUR globally every year.
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 colorectal cancer
- 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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HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
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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.
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance
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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) HORIZON-EIC-2023-ACCELERATOR-01
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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.
0379 Oslo
Norway
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.