L. M. Franco

This study uses scRNA-seq to show that circulating human neutrophils are transcriptionally heterogeneous, forming four distinct clusters with distinct transcriptional states.

The paper develops a machine learning model using blood gene expression data to predict lethality in mice infected with influenza A virus.

This paper develops a deep learning pipeline to evaluate nuclear segmentation models trained on small, custom annotated datasets, showing they can match or exceed performance of pre-trained models.