Cody C. Rounds

The paper develops a deep learning framework to identify and quantify rare hybrid cells in pancreatic cancer models using fluorescence microscopy.

This paper introduces a cyclic immunofluorescence platform using photocleavable linkers for direct antibody labeling, enabling more effective cancer phenotyping with reduced specimen damage.

This study identifies RUNX1 as a key driver of tumor-immune hybrid cell invasion and dissemination in colorectal cancer, highlighting circulating hybrid cells as a biomarker for metastasis.

The paper develops NIR fluorescent probes with improved pharmacokinetics for prostate cancer imaging, enhancing clinical workflow compatibility during surgery.