Seminars

High-grade serous ovarian cancer (HGSOC) is lethal due to late-stage diagnosis. Serous tubal intraepithelial carcinoma (STIC) is a key precursor, yet current diagnostic methods are invasive and slow. We developed 3D organoid models from pig and human samples and an AI/ML-powered label-free imaging platform enabling non-invasive, real-time detection of early transformation without staining. This technology aims to transform early cancer detection and improve patient outcomes through earlier clinical intervention.

Despite being one of the deadliest infectious diseases globally, the only currently widely accepted vaccine for Tuberculosis (BCG) has incredibly variable efficacy and its mechanisms are not fully understood. We seek to outline this immune response at a systems level by fitting a network of immune protection using data drawn from macaques vaccinated with various doses of BCG. Using this network we conduct an in silico knockout and path-level analysis, shedding light on which features and pathways are most important for control of Tuberculosis.