Features
Federated learning for multi-center studies
AI-based workflow design and execution
Seamless PACS integration
Containerized processing with Kubernetes and Docker
nnU-Net integration for segmentation
MITK Workbench for interactive image viewing
Standardized interfaces for algorithm sharing
Modular and extensible architecture
Web-based user interface for platform management
Open-source with community contributions
Supports distributed method development
Built-in nnU-Net out-of-the-box segmentation
MITK Workbench for interactive medical image processing
Containerized data processing
Web-based UI for platform management
Autonomous hypothesis generation with agentic AI
Multimodal patient data integration (spatial, multi-omics, clinical)
Clinical trial design and patient stratification
Patient and population analytics
Early portfolio decision insights
Patient validation through wet lab infrastructure
Target ID engine distinguishing novel from rediscovery
Collaborative network of 30+ academic centers
Multi-year partnership with Sanofi for custom AI agents
NVIDIA collaboration for biological benchmark testing
Narrows search space in aging research
K Pro connected to front-end user feedback
Support for antibody-drug conjugate development via spatial biology
