Brendan K. Ball

The paper integrates mouse lymph node tumor data with human melanoma tumors to identify transcriptional programs and ecotypes associated with metastasis.

The paper integrates mouse and human microglia transcriptomics to identify AD-related pathways and drugs using TransComp-R, finding FDA-approved drugs that mimic healthy human microglia in mice.

The paper uses proteomic analysis to identify acrolein-induced changes in rat spinal cord injury, revealing shared pathways in complement and coagulation cascades.

The paper identifies conserved molecular pathways in spaceflight-induced sarcopenia using cross-species analysis and develops a model linking transcriptional changes to locomotion deficits.

The paper evaluates the translatability of two mouse osteoarthritis models to human transcriptomics data using TransComp-R, finding that ACLR better predicts human OA conditions.

The paper investigates how metabolites linked to type 2 diabetes and Alzheimer's disease affect intracellular signaling in mouse neurons, identifying specific pathway activations associated with disease progression or protection.

This paper uses cross-disease modeling to identify T2D biomarkers predictive of Alzheimer's disease and suggests a T2D medication that may prevent AD onset.

The paper investigates how primary neurons respond to metabolites linked to type 2 diabetes and Alzheimer's disease, identifying differential secretion of MCP-1 and IL-9.

This study uses multiple particle tracking to analyze brain ECM structure changes and predicts neurodevelopmental age using machine learning.