Kara Lynn Davis

CellFuse integrates single-cell and spatial proteomics data using a deep learning framework, outperforming existing methods in accuracy and efficiency.

This study identifies IKAROS as a factor associated with antigen escape in B-ALL, showing that low IKAROS levels lead to reduced B-cell antigen expression and resistance to CD19- and CD22-targeted therapies.

This study characterizes CAR+ T-cell subsets and immune system dynamics in pediatric BCP-ALL patients treated with tisagenlecleucel, finding correlations between immune cell changes and cytokine release syndrome.

This study identifies uridine metabolism as a therapeutic target for chemo-resistant B-ALL by linking active signaling to uridine dependency and demonstrating DHODH inhibition as a promising treatment.

The paper introduces tidyomics, an ecosystem bridging Bioconductor and tidy R to streamline omic analysis using data from the Human Cell Atlas.

The paper introduces a machine learning method that integrates immunological knowledge to improve predictive power from mass cytometry data.