The OncoLab project is designed to harmonize and standardize multicentric oncology data, ensuring that healthcare institutions can leverage clinical information in a synchronized and privacy-preserving manner. The OncoLab project will create secure federated clinical datasets, enabling advanced cancer research across institutions.
A key pillar of the initiative is the use of federated learning, enabling hospitals to collaborate analytically without transferring patient data outside their secure environments. This approach reduces data heterogeneity, strengthens trust, and supports the development of powerful algorithmic models.
By comparing multicentric analytical models with conventional monocentric approaches, the project will further demonstrate the benefits of harmonized, large-scale real-world datasets for research and innovation.
Pancreatic cancer is associated with a very poor prognosis, with overall survival rates remaining below 10% despite recent advances in diagnosis and treatment. Many patients present with unresectable disease, and current prognostic indicators provide only a partial understanding of recurrence or progression risks. There is a critical need for deeper insights that can support more personalized therapeutic strategies.
LynxCare will work in partnership with Arkhn and Inria to deliver on the ambitions of the consortium with the support of the BPI and contribute to ongoing research efforts in pancreatic cancer.
LynxCare and Arkhn will collaborate and develop AI-driven models to identify prognostic factors in pancreatic cancer patients receiving standard chemotherapy. Arkhn will lead the development of standardized data architectures, while LynxCare will leverage its expertise in artificial intelligence (AI) and clinical natural language processing (cNLP) to extract valuable insights with high precision from both structured and unstructured clinical data (including narrative text in medical records).
The addition of LynxCare into the OncoLab project marks a significant milestone, as its advanced clinical NLP-AI capabilities and commitment to precision will play a pivotal role in enhancing health data access, federated analysis, and oncology research. The deep clinical insights generated through this collaboration have the potential to accelerate scientific research initiatives and drive meaningful improvements in cancer patient outcomes.
Launched in 2022, the OncoLab project is transforming access to oncology real-world data in France by providing a standardized platform for healthcare institutions. By providing direct access to standardized data, OncoLab reduces costs, streamlines processes, and fosters research and innovation in oncology. The project is being implemented at three prominent oncology institutions: Institut Bergonié, Institut Curie, and the Toulouse University Hospital.
LynxCare is taking over the role initially attributed to OWKIN.
LynxCare is a scale-up company specializing in precision medical data extraction, harnessing AI and disease-specific clinical NLP. With a strong proven track record of unlocking previously inaccessible clinical data and insights, LynxCare enables multi-country scientific research to drive better patient outcomes. The company collaborates with hospitals and life sciences companies across the globe, within a strict ethical and legal framework. LynxCare is part of the CBInsights Global Digital Health 150, recognized among the World's Best Digital Health companies by Newsweek and Statista, and supported by renowned VC investors MTIP (CH), Elaia (FR), B2Ventures (CH-DE) and Heran partners (BE). Learn more: https://www.lynx.care/
Arkhn, the French leader in sovereign data warehouses, supports healthcare institutions in accessing, managing and leveraging their data for the benefit of the entire healthcare ecosystem. With a modular data warehouse offer for all needs, all professions and all regulatory frameworks, Arkhn provides turnkey solutions to enable each organization to guarantee the quality of care for each patient, facilitate the management of its structure and promote clinical research and innovation.
Inria is the French national institute for research in digital science and technology, and since January 2024 has been responsible for the Agence de programmes dans le numérique (Digital Programs Agency), designed to strengthen the collective dynamics of higher education and research. Its DNA is based on world-class research, technological innovation and entrepreneurial risk. Within 220 project teams, most of which are shared with major research universities, more than 3,800 scientists are exploring new avenues, often in interdisciplinary collaboration with industrial partners, to meet ambitious challenges. As a technology institute, Inria supports a wide range of innovation paths: from open source software publishing to the creation of technology startups (Deeptech).