Kosyakovsky, L. B. Et Al. 2022. Machine learning approaches to the human metabolome in sepsis identify metabolic links with survival. Intensive Care Medicine Experimental , vol.10, no.1 .

Kosyakovsky, L. B., Somerset, E., Rogers, A. J., Sklar, M., Mayers, J. R., Toma, A., ... Szekely, Y.(2022). Machine learning approaches to the human metabolome in sepsis identify metabolic links with survival. Intensive Care Medicine Experimental , vol.10, no.1.

Kosyakovsky, Leah Et Al. "Machine learning approaches to the human metabolome in sepsis identify metabolic links with survival," Intensive Care Medicine Experimental , vol.10, no.1, 2022

Kosyakovsky, Leah B. Et Al. "Machine learning approaches to the human metabolome in sepsis identify metabolic links with survival." Intensive Care Medicine Experimental , vol.10, no.1, 2022

Kosyakovsky, L. B. Et Al. (2022) . "Machine learning approaches to the human metabolome in sepsis identify metabolic links with survival." Intensive Care Medicine Experimental , vol.10, no.1.

@article{article, author={Leah B. Kosyakovsky Et Al. }, title={Machine learning approaches to the human metabolome in sepsis identify metabolic links with survival}, journal={Intensive Care Medicine Experimental}, year=2022}