Research and diagnostics
Scope and criticality
In the Healthcare & Life Science sector, the sharing of sensitive data between hospitals is severely limited by regulatory and privacy constraints, while the high costs of clinical trials slow down research and development processes.
Methodology & Solution
Exprivia adopts a Federated Learning approach in which the algorithm travels between healthcare facilities while the data remains locally stored. This is accompanied by simulations on virtual patients (in-silico), which make it possible to accelerate research and reduce trial costs.
Technologies
- Federated Learning Architectures
- Synthetic Data Generators
- Assistive Robotics Solutions
Focus
Digital Bioethics: Mandatory human clinical supervision. Absolute privacy (no raw data leaves the property).
