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Artificial Neural Network Model Using Immune-infiltration Modules for Endometrial Receptivity Assessment of Implantation Failure

2022-01-17

Abstract excerpt

<title>Abstract</title> <p><bold>Objectives:</bold> This study was anchored on the state of local immune-infiltration in the endometrium, which acts as critical factors affecting embryonic implantation, and aimed at establishing novel approaches to assess endometrial receptivity for patients with IVF failure.<bold>Methods:</bold> Immune-infiltration levels in the GSE58144 dataset (n=115) from GEO were analyzed by...

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Literature Corpus work
9a9f32e0-d57b-552e-90a5-915130849fc1
DOI
10.21203/rs.3.rs-860927/v2
Open publication

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Artificial Neural Network Model Using Immune-infiltration Modules for Endometrial Receptivity Assessment of Implantation FailureDOI 10.21203/rs.3.rs-860927/v2
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