Joshua Pace

The paper develops a machine learning approach to improve CTC enumeration in diffuse in vivo flow cytometry by distinguishing CTC peaks from artifacts.

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

This paper evaluates contrast agents for in vivo fluorescence detection of circulating tumor cells, finding that while they show high uptake, they also label non-cancer cells, reducing specificity.

PuMA annotates papillomavirus genomes with 98% accuracy and was used to annotate 1424 features from 168 new isolates.