E. A. Ashley

Leveraging whole genome sequencing to promote genetic diversity and population health in zoo-housed western lowland gorillas

This study uses whole genome sequencing to assess genetic diversity and identify a novel genetic variant linked to myocardial fibrosis in western lowland gorillas, highlighting the value of genomic data in zoo population management.

Realtime morphological characterization and sorting of unlabeled viable cells using deep learning

COSMOS enables real-time, unlabeled cell sorting based on morphology using deep learning, achieving high enrichment of viable cells for functional analysis.

Multi-omic profiling reveals widespread dysregulation of innate immunity and hematopoiesis in COVID-19

Single-cell multi-omic profiling identifies immune dysregulation in severe COVID-19, including neutrophil hyperactivation and anti-inflammatory monocytes.

A Bayesian phase 2 model based adaptive design to optimise antivenom dosing: application to a dose-finding trial for a novel Russell's viper antivenom in Myanmar

This paper proposes a Bayesian adaptive design for antivenom dose-finding trials, showing it can identify optimal doses with fewer patients than traditional methods.

Deep Learning Interpretation of Echocardiograms

This paper applies deep learning to echocardiograms to identify cardiac structures, estimate function, and predict systemic phenotypes, showing high accuracy in key metrics.