Discover how technological advances for high-energy physics have become essential tools for modern medicine.
This series of short talks is given by Early-Career Researchers working on projects related to diverse medical applications that arise from technology developed at CERN and in high-energy physics.
In this seminar 2 Researchers, Heloisa Barbosa Da Silva and Paolo Cacace, will share their work on the Cafein project.
Talk 1: Breast Cancer Risk Prediction: Exploring AI, Federated Learning, and Interpretability Approaches
Talk 2: Federated Learning and efficient learning for Edge Based Biomedical Signal Analysis
You can also watch the seminar on zoom (click on videoconference)
For information about the next Knowledge Transfer Seminar, please sign up to our e-group at http://cern.ch/go/F9cX
