Maryam Monajemzadeh

This study characterizes morphological classes in pancreatic cancer using transcriptomic, genomic, and clinical data to identify molecular associations and prognostic implications.

ClumPyCells corrects cell size biases in spatial -omics data to accurately measure cell and marker aggregation in tissues.

This study analyzes ctDNA shedding in pancreatic cancer using paired tissue and plasma whole genomes, finding that subclones contribute significantly to early dissemination and ctDNA levels.