Methods for determining the risk of suffering from preeclampsia

The method uses plasma RNA transcripts and machine learning to predict preeclampsia risk via gene signatures, addressing the lack of early and non-invasive diagnosis, enabling timely clinical intervention.

WO2026114972A1PCT designated stage Publication Date: 2026-06-04IPREMOM PREGNANCY HEALTHCARE DIAGNOSTICS SL
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
IPREMOM PREGNANCY HEALTHCARE DIAGNOSTICS SL
Filing Date
2025-11-26
Publication Date
2026-06-04

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Abstract

The present invention refers to an in vitro method for the determination of the risk of a subject suffering of preeclampsia as well as computer implemented methods thereof.
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