Integration of genomic and clinical data to predict endometrial cancer outcomes (1121)

Abstract

Open access

Peer reviewed

Rachel Watson, Keely Ulmer, David Bender, Michael Goodheart, Eric Devor and Jesus Gonzalez Bosquet

Gynecologic oncology, Vol.176(Suppl. 1), p.S90

09/2023

DOI: 10.1016/j.ygyno.2023.06.043

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https://doi.org/10.1016/j.ygyno.2023.06.043View

Published (Version of record) Open Access

Title: Subtitle: Integration of genomic and clinical data to predict endometrial cancer outcomes (1121)
Creators: Rachel Watson - University of Iowa Hospitals and Clinics
Keely Ulmer - University of Iowa
David Bender - University of Iowa
Michael Goodheart - University of Iowa
Eric Devor - University of Iowa
Jesus Gonzalez Bosquet - University of Iowa
Resource Type: Abstract
Publication Details: Gynecologic oncology, Vol.176(Suppl. 1), p.S90
DOI: 10.1016/j.ygyno.2023.06.043
ISSN: 0090-8258
eISSN: 1095-6859
Language: English
Date published: 09/2023
Academic Unit: Obstetrics and Gynecology
Record Identifier: 9984472534602771

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