Melissa Lambeth Kemp

The paper detects enzymology-defined precursor-product correlations in human plasma LC-MS data, showing consistency across longitudinal and cross-sectional studies.

The paper develops a workflow to map metabolic neighborhoods in neural rosettes using MALDI imaging and single-cell analysis, enabling spatial and metabolic characterization of differentiating stem cells.

This study identifies how adipocyte secretome induces metabolic and epigenetic changes in TNBC cells, promoting stress-adaptive states through chromatin remodeling and metabolic reprogramming.

This study uses spatial and single-cell transcriptomics to identify niche-specific signaling programs in multiple myeloma that drive progression and immunosuppression.

The paper uses neural networks with topological data analysis to classify human induced pluripotent stem cell colonies by treatment condition, achieving performance comparable to ResNet.

This paper introduces a computational pipeline using topological data analysis to quantify multicellular patterning in human induced pluripotent stem cell colonies, revealing subtle differences in differentiation stages.

This paper develops a mesofluidic bioreactor platform with high-content imaging for non-invasive quality control of brain organoids, improving their development and reducing cell death.

This study compares temporal deep learning models for classifying sequences of cell colony images to understand cellular state transitions.

The paper uses single cell RNA-seq data to simulate redox responses to quinone-cycling drug treatment in HNSCC, revealing differences in antioxidant systems between cancer and healthy cells.

This study integrates machine learning with genome-scale metabolic modeling to identify multi-omics biomarkers for radiation resistance, improving classification accuracy and identifying novel patient subgroups.

The paper develops a bioinformatics pipeline to integrate multi-omics data into personalized genome-scale metabolic models, identifying redox metabolism targets in radiation-resistant tumors.

The paper shows that increased antioxidant capacity in BRAF-mutated melanoma cells reduces sensitivity to BRAF inhibitors and suggests targeting redox pathways could improve treatment outcomes.