Rosalyn M. Adam

The paper identifies novel biomarkers for bladder outlet obstruction using transcriptomic and proteomic data from rodent models and human patients.

This study uses exome sequencing to identify genetic associations with interstitial cystitis/bladder pain syndrome, finding new links and extending known associations.

The paper uses multi-omics analysis to study molecular changes in the bladder after spinal cord injury in rats and identifies DNA damage response pathways modulated by inosine treatment.

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.

MLme simplifies machine learning for researchers by integrating data exploration, AutoML, and visualization, showing promising performance across datasets and identifying cell population markers.

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.