Bladder cancer big and small: a multiscale approach to improving sensitivity and specificity

Bladder cancer (BC) in US men is costly and common; its high cost largely from its high recurrence rate (>50%), which necessitates frequent surveillance. We aim to change the paradigm around how BC surveillance is performed by validating new tools with high sensitivity and specificity for carcinoma in situ. In this talk, I discuss our innovative solutions to improve mapping the bladder for longitudinal tracking of suspicious lesions and to create miniature tools for optical detection based on machine learning, computer vision and optical coherence tomography.