Emma J. Fong

This paper introduces NC-PCA, a noise-corrected principal component analysis method for FLIM denoising, showing it reduces uncertainty 4-fold and identifies multiple metabolic states in colorectal cancer organoids.

The paper integrates computational metabolic modeling with experimental validation to identify hexokinase as a therapeutic target in colorectal cancer by analyzing CAF-conditioned tumor organoids.

This study investigates tumor-stromal metabolic interactions in colorectal cancer by integrating constraint-based models with metabolomics data, revealing how cancer-associated fibroblasts reprogram tumor cell metabolism.