Loading...

516 posters, 59 topics, 63 sessions, 1,127 authors, 352 institutions

ePostersLive by SciGen Technologies S.A. All rights reserved.

2026 SOAP Annual Meeting

April 29 - May 3, 2026 | Montreal, Quebec Canada

2341772

A High-Precision Machine Learning Approach Comparing AGT/VASN Ratio and sFlt-1/PlGF for Severe Preeclampsia Diagnosis: A Case-Control Study

Preview of A High-Precision Machine Learning Approach Comparing AGT/VASN Ratio and sFlt-1/PlGF for Severe Preeclampsia Diagnosis: A Case-Control Study

View Poster Contact Presenter

Poster Presenter

Authors

Teshi Kaushik, Xiao Lu Zhang, Saravanakumar Murugesana, Dan E Berkowitz, Tamas Jilling

Affiliations

University of Alabama at Birmingham, UAB, Arnold School of Public Health, University of South Carolina, Columbia, SC,29208, USA.

Part of Topic

Preeclampsia

This website and third-party tools we use rely on cookies for the best user experience. By selecting "I agree", you agree to cookie usage as described in our Privacy Policy.