The Preemie Analytics platform is an advanced tool designed to improve health risk prediction and optimize fortification guidelines for preterm infants. Built on a blockchain-based federated learning framework, it allows Neonatal Units to collaboratively train AI models without sharing raw patient data, ensuring compliance with GDPR, HIPAA, and other regulatory standards. The platform integrates past feeding data and offers AI-driven predictive models to assess disease risks, enabling highly personalized milk fortification. Currently under development, the Preemie Analytics platform is expected to be commercially available by 2027, promising a transformative approach to neonatal care.

Preemie Analytics (PA) software features

• The PA software is installed within each hospital’s secure IT environment;
• It analyses local, de-identified patient data from the EMR (e.g., Epic, Cerner) to retrain AI models locally;
• Instead of sharing raw data, each hospital’s system sends only encrypted mathematical updates (model weights) to the central server;
• The central server receives encrypted model updates from all participating hospitals in the network and aggregates these updates to retrain the Global AI model;
• This model has learned from the diverse experiences of a vast population of infants, making it more accurate and robust than any model trained on a single hospital’s data.