A common format for federated learning: CAIA’s approach to data standardization
In this blog post, we take a look at CAIA’s data standardization process, and how we adhere to privacy, regulatory, ethical and legal guidelines.
One year in: Cancer AI Alliance unveils collaborative AI platform at IA40
Learn about CAIA’s announcements at Madrona’s IA40 summit, including the progress we have made over the last year.
How the orchestration layer securely enables AI insights in a federated learning framework
In this post, we take a closer look at the technology (enabled by NVIDIA FLARE) that underlies CAIA’s secure orchestration layer.
Cancer AI Alliance unveils first collaborative AI platform for cancer research
Secure, scalable, multi-cloud platform using federated learning aims to accelerate cancer discoveries and treatments
How CAIA harnesses federated learning for secure collaboration
How can we train AI models on the collective knowledge of the nation's top cancer centers without exposing sensitive patient information?
CAIA’s solution is an AI training approach called federated learning.
Research beyond silos: How CAIA is accelerating the fight against cancer
Unlocking clues in patient data is a key opportunity in modern healthcare, but institutional silos and privacy concerns often slow progress. The Cancer AI Alliance (CAIA) unites leading cancer centers and AI technology pioneers to solve this.