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pro vyhledávání: '"Mark Segal"'
Autor:
R.W.M.A. Madushani, Vishal Patel, Tyler Loftus, Yuanfang Ren, Han Jacob Li, Laura Velez, Quran Wu, Lasith Adhikari, Philip Efron, Mark Segal, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, Azra Bihorac
Publikováno v:
The Journal of surgical research. 277
Sepsis has complex, time-sensitive pathophysiology and important phenotypic subgroups. The objective of this study was to use machine learning analyses of blood and urine biomarker profiles to elucidate the pathophysiologic signatures of subgroups of