Sanna Madan

This paper introduces LogiCAR designer, a computational method using single-cell transcriptomics to identify logic-gated antigen combinations for CAR therapy, showing improved efficacy and safety compared to existing approaches.

The paper compares gene expression in primary and metastatic tumors to their origin and target tissues, finding metastases more resemble target tissues and show reduced cancer hallmark activity.

IMMClock predicts immune age of T cells and NK cells using gene expression, showing immune aging is more linked to cellular aging than differentiation and is accelerated in diseases.

The paper analyzes pan-cancer single-cell transcriptomes to evaluate and identify new CAR targets for head and neck cancer, finding five promising targets with superior selectivity and safety.