These institutions will deploy a distributed machine learning approach that enables organizations to collaborate on deep learning projects without sharing patient data. This federation of 29 institutes will include those from the United States, Canada, the United Kingdom, Germany, the Netherlands, Switzerland and India.
According to the American Brain Tumor Association (ABTA), nearly 80,000 people will be diagnosed with a brain tumor in 2020, with more than 4,600 of them being children. In order to train and build a model to detect a brain tumor that could aid in early detection and better outcomes, researchers need access to large amounts of relevant medical data, the company said. However, it is essential that the data remain private and protected, which is where federated learning with Intel technology comes in, it further added.
Through the federated learning approach, researchers from all partner organizations will be able to work together on building and training an algorithm to detect a brain tumor while protecting sensitive medical data.
These 29 international healthcare and research institutions will use Intel’s federated learning hardware and software to produce a new state-of-the-art AI model that is trained on the largest brain tumor dataset to date — all without sensitive patient data leaving the individual collaborators.
Other collaborating institutions expected to participate in this initiative includes the Hospital of the University of Pennsylvania, Washington University in St. Louis, the University of Pittsburgh Medical Center, Vanderbilt University, Queen’s University, Technical University of Munich, University of Bern, King’s College London and Tata Memorial Hospital.