Nature Medicine publishes breakthrough Owkin research on the first ever use of federated learning to train deep learning models on multiple hospitals’ histopathology data

"In research published in Nature Medicine today, AI biotech company Owkin has demonstrated for the first time that federated learning (FL) can be used to train deep learning models on data from multiple hospitals on histopathology data without the data leaving hospital firewalls.

The discovery paves the way for AI-powered medical research using larger multi-centric datasets, allowing models to escape the biases of single-centric studies. This has the potential to unlock breakthroughs in precision medicine through the use of secure and privacy-preserving AI.

Using data kept within four leading French hospitals, Owkin built AI models that can accurately predict the future response of triple-negative breast cancer (TNBC) patients to neoadjuvant chemotherapy. By using interpretable AI to extract information from digital pathology slides, Owkin was able to find potential novel biomarkers. This could in the future help funnel patients towards either less toxic treatments or new experimental treatments, improving the personalization of medical care..." Lire la suite