Isaac H. Solomon

This study uses 3D reconstruction and optimal transport modeling to analyze TLS development in TB-infected lungs, revealing distinct maturation trajectories and spatial dynamics.

This paper introduces a human-in-the-loop framework using AI foundation models and sparse autoencoders to interpret H&E histology images and integrate them with molecular spatial profiling.

The paper creates a miRNA atlas of the human prefrontal cortex across aging, identifying age-related miRNA changes and highlighting miR-34a-5p as a key upregulated miRNA in older individuals.

The paper performs spatial transcriptomics on the human prefrontal cortex across the lifespan to identify aging-related changes in different cortical layers.

This study creates a single-nucleus and spatial transcriptomic atlas of the COVID-19 liver, revealing cellular and functional disruptions associated with organ damage.

This study identifies suppressive myeloid cell populations in human TB granulomas using spatial transcriptomics and single-cell immunophenotyping, revealing IDO1+ dendritic cells as key regulators of immune suppression.

This study uses metagenomic sequencing to detect pathogens in CNS infections, identifying novel pathogens and improving detection methods.

This study creates a single-cell and spatial atlas of autopsy tissues from COVID-19 patients, revealing altered cellular responses and potential therapeutic targets.