Learning Algorithms for Medical Big Data Analysis (LAMBDA)

Description / Outline

This group is concerned with applying the most advanced learning approaches on multi-modal, medical imaging for the improvement of clinical decision making. Current topics of interest include identification of a malignant tumor sub-types in breast cancer, establishing correlations between image-based features, gene expression and disease progression in patients, and developing innovative therapeutic approaches such as immune cell guidance and response activation.