We know that the more data it has to train on, the more efficient and accurate machine learning algorithms can get. Presagen, a healthtech scaleup from South Australia, has pioneered a federated learning technique that builds in privacy by design.
Using this decentralised and patent-pending approach, it trains AI algorithms at the data source (eg private patient data) wherever they are stored, without having to store or process the private information locally or sharing it further.