Today, hospitals and researchers hold enormous amounts of valuable health information, but sharing it safely is one of the biggest challenges in modern medicine. The European project TRUMPET set out

As healthcare rapidly enters the age of data-driven intelligence, one question keeps resurfacing: How can we innovate with data without compromising privacy? At HealthTech Forward 2025, the TRUMPET Project provided

In the era of data-driven intelligence, privacy-preserving machine learning has become a cornerstone of responsible AI deployment. While Federated Learning (FL) has emerged as a promising paradigm for collaborative model

Even though local data is not directly shared, standard Federated Learning (FL) architectures (see Figure 1) still raise important privacy and security concerns that hinder their practical adoption. Privacy risks

In the final quarted of 2024, the TRUMPET project was selected for support by the EU Standardisation Booster (HS Booster), a European Commission initiative that provides guidance on engaging with

A groundbreaking idea for a network of smart lockers, called “Therapy-Lockers”, designed to securely store and distribute oncological drugs in rural and underserved areas through AI-driven positioning, has won the