Alex Bigger-Allen

The paper identifies tissue and urine biomarkers for bladder outlet obstruction through integrated transcriptomic and proteomic analyses across rodent models and human patients.

This paper uses machine learning to identify a three-gene mRNA signature that distinguishes non-ulcerative bladder pain syndrome from controls and detrusor overactivity patients.

SpheroScan is a deep learning tool for automated spheroid image analysis that improves reproducibility and throughput in 3D spheroid assays.

The paper introduces MLcps, a Python package that combines multiple performance metrics into a single score for classification problems, tested on biological datasets to assess model robustness.