Order Article Reprints

Acharjee A, Hazeldine J, Bazarova A, Deenadayalu L, Zhang J, Bentley C, Russ D, Lord JM, Gkoutos GV, Young SP, et al. Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury. Metabolites. 2022; 12(1):29. https://doi.org/10.3390/metabo12010029

Acharjee, Animesh, Jon Hazeldine, Alina Bazarova, Lavanya Deenadayalu, Jinkang Zhang, Conor Bentley, Dominic Russ, Janet M. Lord, Georgios V. Gkoutos, Stephen P. Young, and et al. 2022. "Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury" Metabolites 12, no. 1: 29. https://doi.org/10.3390/metabo12010029

Acharjee, A., Hazeldine, J., Bazarova, A., Deenadayalu, L., Zhang, J., Bentley, C., Russ, D., Lord, J. M., Gkoutos, G. V., Young, S. P., & Foster, M. A. (2022). Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury. Metabolites, 12(1), 29. https://doi.org/10.3390/metabo12010029