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Items: 3

1.

Dilution of Molecular-Pathologic Gene Signatures by Medically Associated Factors Might Prevent Prediction of Resection Status After Debulking Surgery in Patients With Advanced Ovarian Cancer.

Heitz F, Kommoss S, Tourani R, Grandelis A, Uppendahl L, Aliferis C, Burges A, Wang C, Canzler U, Wang J, Belau A, Prader S, Hanker L, Ma S, Ataseven B, Hilpert F, Schneider S, Sehouli J, Kimmig R, Kurzeder C, Schmalfeldt B, Braicu EI, Harter P, Dowdy SC, Winterhoff BJ, Pfisterer J, du Bois A.

Clin Cancer Res. 2020 Jan 1;26(1):213-219. doi: 10.1158/1078-0432.CCR-19-1741. Epub 2019 Sep 16.

PMID:
31527166
2.

The Value of Aggregated High-Resolution Intraoperative Data for Predicting Post-Surgical Infectious Complications at Two Independent Sites.

Tourani R, Murphree DH, Melton-Meaux G, Wick E, Kor DJ, Simon GJ.

Stud Health Technol Inform. 2019 Aug 21;264:398-402. doi: 10.3233/SHTI190251.

PMID:
31437953
3.

Developing a Clinico-Molecular Test for Individualized Treatment of Ovarian Cancer: The interplay of Precision Medicine Informatics with Clinical and Health Economics Dimensions.

Winterhoff B, Kommoss S, Heitz F, Konecny GE, Dowdy SC, Mullany SA, Park-Simon TW, Baumann K, Hilpert F, Brucker S, du Bois A, Schröder W, Burges A, Shen S, Wang J, Tourani R, Ma S, Pfisterer J, Aliferis CF.

AMIA Annu Symp Proc. 2018 Dec 5;2018:1093-1102. eCollection 2018.

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