Shannon M. Mumenthaler

The paper introduces SCOPE, a method using AI and time-lapse imaging to classify drug responses in organoids into four phenotypic groups, identifying new drug effects and therapeutic uses.

The paper uses multi-scale network geometry to analyze metabolic reprogramming in colorectal cancer, identifying therapeutic vulnerabilities and architectural changes in metabolic networks.

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.

The paper introduces a thin plate spline method to model tissue boundaries in organ-on-chip models and quantify tumor cell invasion.

This paper identifies a cis-regulatory mechanism in triple-negative breast cancer where targeting circadian transcription factors with small molecules represses a circadian transcriptional program, offering a new therapeutic strategy.

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.

This paper identifies UNC7040 as a potent CBX8-specific positive allosteric modulator that disrupts PRC1 function and reduces cancer cell proliferation.

This study uses multi-model simulations to show how liver parenchyma biomechanics influence metastatic tumor growth and dormancy.

Open source off-lattice agent-based C++ simulator PhysiCell, coupled to the BioFVM diffusion solver, simulates 3-D multicellular tissues with cost linear in cell number, reaching roughly 10^6 cells.

The paper introduces MultiCellDS, a standard and community-driven initiative for sharing multicellular data to enhance research in cell biology.

The paper introduces MultiCellDS, a standard for multicellular data curation, and presents MultiCellDB as a database to store associated data, enhancing data sharing and utility in biological and clinical research.