All projects
What Works When for Whom?
Advancing therapy change process research
- Machine learning
- Text analysis & natural language processing
CARRIER
Coronary artery disease: risk estimations and interventions for prevention and Early detection
- Big data
- federated learning
- Machine learning
Googling the cancer genome
Identification and prioritization of cancer-causing structural variations in whole genomes
- High performance computing
- Machine learning
- Workflow technologies
candYgene
Prediction of candidate genes for traits using interoperable genome annotations
- Inter-operability & linked data
- Text analysis & natural language processing
Digital biomarkers for Parkinson’s disease
Gaining real-life insights from wearable sensors
- Inter-operability & linked data
- Machine learning
- Optimized data handling
Enhance Your Research Alliance (EYRA) Benchmark Platform
Supporting researchers to easily set-up benchmarks
- Workflow technologies
FAIR Data for CAPACITY
Statistical analyses and machine learning models: Insights about the relation between...
- COVID-19
- FAIR
Dr. Watson
Medical experts helping machines diagnose
- Crowdsourcing
- Human-computer interaction
- open data
- + 1
ePODIUM
Early prediction of dyslexia in infants using machine learning
- EEG Signal
- Machine learning
Automated video-based movement assessment
Automated video-based movement assessment using machine learning to support personalized treatment of movement disorders
- Machine learning
3D-Vac
Personalized cancer vaccine design through 3D modelling boosted geometric learning
- Geometric Deep Learning
- High performance computing
- Machine learning
- + 1
Emotion Recognition in Dementia
Advancing technology for multimodal analysis of emotion expression in everyday life
- Visualization
- Workflow technologies