video1.0<iframe src="https://www.loom.com/embed/ef07217077704eacaab553dc5e6238cd" frameborder="0" width="1280" height="960" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9601280Loomhttps://www.loom.com9601280https://cdn.loom.com/sessions/thumbnails/ef07217077704eacaab553dc5e6238cd-00001.gif242.551In this video, I discuss the Weave Chain Split Learning Challenge and how it addresses the privacy concerns faced by medical researchers. With the challenge, researchers can collaborate with multiple institutions and train a model using data from different sources without compromising patient privacy. I provide an example of using the split neural network stack and the Weave Chain library in a Docker container. The video demonstrates how the data is anonymized using hashes and how the outputs can be shared across institutions. This technology has the potential to revolutionize the field of medical research, particularly in areas like malaria and tick-borne diseases.