Jeremy Copperman

This study identifies FGFR-ERK signaling as a driver of adaptive resistance in osteosarcoma lung metastases and shows that combinatorial RTK inhibition enhances MCL1 inhibitor efficacy.

The paper introduces a compact, battery-powered organoid-on-chip system with programmable flow control, validated for culturing pancreatic cancer organoids and showing enhanced proliferation and drug response.

The paper develops MMIST, a computational approach linking live-cell morphodynamics to gene expression changes during cell state transitions.

The paper introduces the SITE platform for live-cell ex vivo modeling of cancer and TME interactions, revealing tissue-specific dynamics and ERK signaling patterns in breast cancer.

This study investigates how combinations of EGF, OSM, and TGFB cytokines synergistically drive cell motility through CXCR2 chemotaxis and CREB activation in MCF10A cells.

The paper uses delay embedding and VAE features to predict single-cell dynamics of a molecular reporter from unlabeled live-cell imaging data.

This paper introduces a morphodynamical trajectory embedding method to analyze live-cell imaging data, revealing ligand-specific cell state transitions and improving trajectory modeling compared to snapshot-based analysis.