Yael Amitay

The paper introduces CISM, a method to identify spatial multicellular motifs associated with disease states in single-cell spatial data, showing they outperform existing methods in predicting disease states in TNBC and melanoma.

The paper uses spatial proteomics and transcriptomics to analyze sentinel lymph nodes in melanoma patients, identifying immune patterns that predict distant metastases.

CellSighter is a deep-learning pipeline that classifies cells in multiplexed images with high accuracy, reducing manual effort and improving consistency.