Technology at the service of public health
The European project ENACT brings together technology, science, and healthcare to create a model that assesses our risk of disease based on environmental exposure.
Two-phase risk model development and validation
1. Retrospective phase: Uses large-scale health and environmental datasets to derive and calibrate a model predicting hospitalization risk from exposomic factors (air, noise, light, etc.).
2. Prospective phase: Validates the model across five EU pilot sites, combining environmental exposure data and wearable-collected health indicators.
Comprehensive data collection
1. Clinical data about hospitalization for non-communicable diseases.
2. Air, noise, light, and climate sensors. 3. Wearables to track individual physiological responses and correlate with environmental stressors.ENACT Platform
ENACT will create a privacy-preserving platform using Federated Learning and Distributed Ledger Technologies, enabling secure cross-border data analysis and AI model training on a large, innovative exposomic dataset. The platform will include predictive risk scores for various NCDs, advanced analytics, decision support, and visualization tools. These services will be accessible to citizens, patients, clinicians, hospitals, city planners, and policymakers at local, national, and EU levels.