[1]
“Identification of Potential Prognosticators for Sepsis through Expression Analysis of Transcriptomic Data from Sepsis Survivors and Nonsurvivors”, Acta Med Philipp, vol. 57, no. 7, Jul. 2023, doi: 10.47895/amp.vi0.3934.