Işın Y. Comba

MCSPACE infers microbiome spatiotemporal dynamics from co-localization data, showing superior performance over existing methods in mice and human datasets.

The paper identifies distinct gut microbiome signatures during acute SARS-CoV-2 infection that predict long COVID, showing microbiome profiles better predict risk than clinical variables.

This paper develops a deep learning model to predict neutralizing activity of COVID-19 therapeutics and vaccines against SARS-CoV-2 variants, finding reduced activity against newer variants like EG.5 and XBB.1.16.