Federated learning AI model could lead to healthcare breakthrough

Check out all the on-demand sessions from the Intelligent Security Summit here. The potential for artificial intelligence (AI) and machine learning (ML) to improve human health cannot be understated, but it does face challenges. Among the big challenges is dealing with siloed data sources, so researchers are not able to easily analyze data from multiple locations and initiatives, while still preserving privacy. It's a challenge that can potentially be solved with an approach known as federated learning. Today in a research report first published in Nature Medicine, AI biotech vendor Owkin has revealed just how powerful the federated model can be for healthcare.