FLock.io has been spotlighted by the World Economic Forum (WEF)’s MINDS programme for two NHS trusts using its privacy-preserving AI to tackle major diseases. Both trusts use its federated learning platform to train clinical models while maintaining 100% data sovereignty.
Moorfields Eye Hospital and UCLH are using FLock.io for two use cases: eye disease detection and diabetes management. The method enables collaboration without sharing sensitive patient data. This solves the problem regulated industries like healthcare face where data privacy regulations and security concerns restrict the use of AI.
The spotlight places FLock.io’s work within the wider MINDS programme, alongside a broader ecosystem focused on scaling high-impact, real-world AI applications in collaboration with Accenture. The latest MINDS cohort includes organisations such as Lenovo, Occidental, TCL Industries, Hisense Hitachi and KUKA.
Two federated learning NHS use cases with FLock.io
FLock.io is working with NHS researchers from UCL and clinical partners from University College London Hospitals (UCLH) for glucose monitoring alerts. This empowers clinicians with AI-powered predictions locally trained on 400+ patients’ data. It enables collaborative training across partners in the UK, Europe, US, and China while ensuring patient data never leaves the secure NHS trust network, maintaining 100% data sovereignty.
