Project cooperationUpdated on 19 January 2026
Federated learning
Research Group Leader at Turku University of Applied Sciences
Turku, Finland
About
At INSIGHT research group in Turku University of Applied Sciences, we have developed a federated learning software that can be used for distributed machine learning of medical images. We would like to collaborate in projects that would benefit from such machine learning system, for example enabling collaboration between several clinical institutions.
Topic
- HORIZON-MISS-2026-02-CANCER-01: Virtual Human Twin (VHT) Models for Cancer Research
- HORIZON-MISS-2026-02-CANCER-02: Microbiome for early cancer prediction before the onset of disease
- HORIZON-MISS-2026-02-CANCER-03: Pragmatic clinical trials to optimise immunotherapeutic interventions for patients with refractory cancers
Type
- Offering Expertise to Consortias
Organisation
Similar opportunities
Project cooperation
HORIZON-MISS-2026-02-CANCER-02/ CANCER-03: Communication and Dissemination
- Offering Expertise to Consortias
- HORIZON-MISS-2026-02-CANCER-02: Microbiome for early cancer prediction before the onset of disease
- HORIZON-MISS-2026-02-CANCER-03: Pragmatic clinical trials to optimise immunotherapeutic interventions for patients with refractory cancers
Christin Boldt
Co-Head Services Department at Knowbio GmbH
Berlin, Germany
Project cooperation
SME biotech partner offering integrated genomic and epigenomic profiling for early cancer prediction
- Offering Expertise to Consortias
- HORIZON-MISS-2026-02-CANCER-07: Improve the Quality of Life of older cancer patients
- HORIZON-MISS-2026-02-CANCER-02: Microbiome for early cancer prediction before the onset of disease
- HORIZON-MISS-2026-02-CANCER-03: Pragmatic clinical trials to optimise immunotherapeutic interventions for patients with refractory cancers
Ana Pou
Project Manager at Aniling
Barcelona, Spain
Project cooperation
Facilitating contacts with cancer researchers at Medical University of Vienna
- Completing the consortia
- HORIZON-MISS-2026-02-CANCER-04: Earlier and more precise palliative care
- HORIZON-MISS-2026-02-CANCER-01: Virtual Human Twin (VHT) Models for Cancer Research
- HORIZON-MISS-2026-02-CANCER-07: Improve the Quality of Life of older cancer patients
- HORIZON-MISS-2026-02-CANCER-02: Microbiome for early cancer prediction before the onset of disease
- HORIZON-MISS-2026-02-CANCER-03: Pragmatic clinical trials to optimise immunotherapeutic interventions for patients with refractory cancers
Reinhard Eckert
Research Service at Medical University of Vienna
Vienna, Austria