Integrated Single-cell and Plasma Proteomic Modeling to Predict Surgical Site Complications: A Prospective Cohort Study

DSpace Repository

Integrated Single-cell and Plasma Proteomic Modeling to Predict Surgical Site Complications: A Prospective Cohort Study

Author: Rumer, Kristen K.; Hedou, Julien; Tsai, Amy; Einhaus, Jakob; Verdonk, Franck; Stanley, Natalie; Choisy, Benjamin; Ganio, Edward; Bonham, Adam; Jacobsen, Danielle; Warrington, Beata; Gao, Xiaoxiao; Tingle, Martha; McAllister, Tiffany N.; Fallahzadeh, Ramin; Feyaerts, Dorien; Stelzer, Ina; Gaudilliere, Dyani; Ando, Kazuo; Shelton, Andrew; Morris, Arden; Kebebew, Electron; Aghaeepour, Nima; Kin, Cindy; Angst, Martin S.; Gaudilliere, Brice
Tübinger Autor(en):
Einhaus, Jakob Franz
Published in: Annals of Surgery (2022), Bd. 275, H. 3, S. 582-590
Verlagsangabe: Lippincott Williams & Wilkins
Language: English
Full text: http://dx.doi.org/10.1097/SLA.0000000000005348
ISSN: 0003-4932
DDC Classifikation: 610 - Medicine and health
Dokumentart: Article
Show full item record

This item appears in the following Collection(s)