The first IVDR-approved commercial software solutions for AI-powered RNA-based companion and precision cancer diagnostics of acute myeloid leukaemia and bladder cancer
Qlucore aims to revolutionize precision oncology by developing AI-driven diagnostic software for cancer, enhancing accuracy in gene analysis and improving survival rates across Europe.
Projectdetails
Introduction
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.
Future of Precision Oncology
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.
Expansion Plans
We aim to cover all cancer types relevant for gene expression-based diagnostics, and then scale up into non-cancer indications, including:
- Cardiovascular diseases
- Neurological diseases
- Immunological disorders
Additionally, we plan to explore other data types, such as:
- Proteomics
- Single-cell RNA-seq
This approach will further disrupt the precision diagnostics industry.
Current Developments
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, we will focus on acute myeloid leukaemia (AML) and bladder cancer (BC).
Specific Goals
For AML and BC, we will develop and CE-certify:
- Classification models
- Companion diagnostics (CDx)-specific classification models
Impact on European Genomics
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, particularly in the US, and offer significant benefits to patients diagnosed with cancer and society as a whole.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.491.650 |
Totale projectbegroting | € 3.559.500 |
Tijdlijn
Startdatum | 1-5-2024 |
Einddatum | 30-4-2027 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- QLUCORE ABpenvoerder
Land(en)
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A new cardioprotective drug for acute treatment of myocardial infarction
ResoTher aims to validate RTP-026, an immunomodulating therapy, to reduce heart damage and HF risk post-myocardial infarction through Phase II clinical studies.
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3Bee leverages IoT, wildlife monitoring, and satellite data to measure and regenerate biodiversity, generating certified Biodiversity Credits for corporations to enhance ESG reporting and brand value.
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LUCERO BIO: Smart Optofluidic Isolation of Spheroids for Early-Stage Drug Discovery
Lucero aims to enhance drug screening by developing a scalable 3D cell-handling platform using microfluidics and AI, enabling personalized medicine and improving treatment efficacy in pharmaceuticals.
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Develop LeukoScreen, an AI software to enhance the speed and accuracy of acute promyelocytic leukemia diagnosis, improving patient outcomes and optimizing laboratory workflows.
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PHIRE aims to develop a novel theranostic device for high-resolution imaging and treatment of bladder cancer lesions under 1 mm, improving patient outcomes and reducing tumor relapse.
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This project aims to develop a single-cell multiomics method to understand epigenetic resistance mechanisms in AML, enhancing treatment strategies against drug resistance.