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Editorial
. 2022 Oct;11(5):762-765.
doi: 10.21037/hbsn-22-390.

Advancing proteomics and machine learning in the clinic: an editorial on " Noninvasive proteomic biomarkers for alcohol-related liver disease"

Affiliations
Editorial

Advancing proteomics and machine learning in the clinic: an editorial on " Noninvasive proteomic biomarkers for alcohol-related liver disease"

Courtney D McGinnis et al. Hepatobiliary Surg Nutr. 2022 Oct.
No abstract available

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Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://hbsn.amegroups.com/article/view/10.21037/hbsn-22-390/coif). The authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
Schematic model of the bioinformatic and machine learning approach utilized to identify and validate clinically relevant biomarkers in hepatic biopsies and serum samples of patients with ALD. ALD, alcohol-associated liver disease. ROC, receiver operating characteristic; AUC, area under the curve.

Comment on

  • Noninvasive proteomic biomarkers for alcohol-related liver disease.
    Niu L, Thiele M, Geyer PE, Rasmussen DN, Webel HE, Santos A, Gupta R, Meier F, Strauss M, Kjaergaard M, Lindvig K, Jacobsen S, Rasmussen S, Hansen T, Krag A, Mann M. Niu L, et al. Nat Med. 2022 Jun;28(6):1277-1287. doi: 10.1038/s41591-022-01850-y. Epub 2022 Jun 2. Nat Med. 2022. PMID: 35654907 Free PMC article.

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