Idan Milo

This study develops a bispecific antibody that enhances T-cell engagement with AXL+ cells, improving anti-PD-1 therapy efficacy in HNSCC by remodeling the tumor microenvironment.

CellTune is a software tool for cell classification in spatial proteomics that outperforms existing methods with high accuracy and resolution.

The paper shows clonal memory in human HSPCs persists across divisions and is disrupted in AML, with potential for therapeutic modulation.

The paper creates a spatial atlas of human gastrointestinal GVHD, identifying immune and epithelial changes that contribute to disease pathophysiology.

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

This paper introduces CombPlex, a combinatorial staining method combined with deep learning to measure more proteins at single-cell resolution without needing specialized imaging equipment.

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