A 6-mRNA host response using patients with non-COVID-19 infections accurately predicts severity of COVID-19


Buturovic, L. et. al. Nature, Jan. 2022.

The optimization and biological significance of a 29-host-immune-mRNA panel for the diagnosis of acute infections and sepsis


He, Y. et al. J. Pers. Med. June 2021.

A novel method for classification of tabular data using convolutional neural networks


Buturovic, L. and Miljkovic, D. BioRxiv. Jan 2021.

Evaluation of Bayesian optimization to select predictive models of acute infection and in-hospital mortality


Mayhew, M. et al. Pac Symp Biocomput. Jan 2021.

A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections


Mayhew M, et al. Nature Communications. Mar 2020.

A machine learning method for subgroup analysis of randomized controlled trials


Buturovic, L. BioRxiv. Jun 2018.

A comprehensive time-course-based meta-analysis of sepsis and sterile inflammation reveals a robust discriminatory gene set


Sweeney TE, et al. Science Translational Medicine. May 2015.

Go to Top