Life Sciences
Biomarker Boosting
Better biomarkers through datasharing
- Image processing
- Machine learning
- Workflow technologies
Predicting the Brugada ECG without ajmaline
Predicting the Brugada syndrome using machine learning
- Machine learning
- medical
candYgene
Prediction of candidate genes for traits using interoperable genome annotations
- Inter-operability & linked data
- Text analysis & natural language processing
CARRIER
Coronary artery disease: risk estimations and interventions for prevention and Early detection
- Big data
- federated learning
- Machine learning
BrainAge
Cerebrovascular Brain-age
- deep learning
- Machine learning
- MRI
Chemical Analytics Platform
Managing and exploiting growing data resources in chemical design
- Workflow technologies
Chemical Informatics for Metabolite Identification and Biochemical Network Reconstruction
Chemical informatics for metabolite identification and biochemical network reconstruction
- Data Analysis
- mass spectrometry
- Optimized data handling
Classifying activity types
Gaining insights from wearable movement sensors
- Data Analysis
COMPAS
A Computational Answer to the Soaring MRI demand
- GPU
- High performance computing
- Image processing
- + 1
Computational Chemistry Made Easy
Bringing concepts from distributed computing and bioinformatics to the field of computational...
- Computational Chemistry
- Workflow technologies
CORTEX
Self-learning machines hunt for explosions in the universe and speed up innovations in industry and...
- GPU
- Machine learning
COVID-19 Grand Challenge
Assessing the suspicion and severity of COVID-19 in a CT scan
- Data
- open data
- Research Platform