Project description
AI-powered software solutions for precision cancer diagnostics
AI-powered cancer classification is a critical aspect of precision oncology. Funded by the European Innovation Council and executed by Qlucore, the QIandQD project is developing visualisation-based analytical solutions for the next-generation sequencing (NGS) market. Its goal is to revolutionise clinical diagnostics with AI-powered software that provide highly accurate diagnoses. The project will initially focus on solutions for acute myeloid leukaemia (AML) and bladder cancer. The aim is to expand gene expression-based diagnostics to all relevant cancer types, with future plans to expand into non-cancer indications such as cardiovascular and neurological diseases, and other data types including proteomics and single-cell RNA-seq.
Objective
Qlucore is developing visualisation-based analytical solutions with an established position in the next-generation sequencing (NGS) market. As pioneers in RNA-data analysis, we aim to revolutionise the field of companion and clinical diagnostics by developing software platforms integrating AI-powered machine-learning classification models for gene expression signatures and gene fusion analysis.
By providing highly accurate and specific diagnoses, our platform represents the future of precision oncology, putting Europe at the forefront of AI-powered cancer classification. A software-based setup speeds up the introduction of new clinical guidelines and companion diagnostic solutions with the ultimate purpose of increasing survival rates and overall health. We aim to cover all cancer types relevant for gene expression-based diagnostics, and then scale up into non-cancer indications (e.g. cardiovascular and neurological diseases, immunological disorders) and other data types (e.g. proteomics and single-cell RNA-seq), further disrupting the precision diagnostics industry.
Currently, we are preparing the solution with a classification model for B-cell progenitor acute lymphoblastic leukaemia (BCP-ALL) for the first IVDR certification (proof of concept). Building on those achievements and leveraging regulatory and data management experience, and progress, in the proposed project we will focus on acute myeloid leukaemia (AML) and bladder cancer (BC). For AML and BC we will develop and CE-certify classification models and companion diagnostics (CDx)-specific classification models.
The successful completion of this project will significantly improve Europe's position in genomics- and AI-based precision diagnostics and as such prompt similar initiatives across Europe. This will allow the EU to compete effectively with market leaders (in particular the US) and offer significant benefits to patients diagnosed with cancer and society as a whole.
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 biological sciences genetics
- natural sciences computer and information sciences software
- natural sciences biological sciences biochemistry biomolecules proteins proteomics
- medical and health sciences clinical medicine oncology bladder cancer
- medical and health sciences clinical medicine oncology leukemia
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
See all projects funded under this programme
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
See all projects funded under this funding scheme
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
See all projects funded under this callCoordinator
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.
223 70 Lund
Sweden
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.