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PB1521 Evaluating Haemostatic Changes during Pregnancy with Global Coagulation Assays - A Prospective Observation Study

Year: 2023

Type: conference-abstract

Abstract: Figure: A schematic of NTA curves feeding into AI and the separation of their embeddings in a 3D graph. Conclusion(s): Deep learning can extract signatures of preeclampsia from circulating vesicle profiles to provide insight into disease phenotypes and personalised patient therapeutic responses.

Source: Research and Practice in Thrombosis and Haemostasis

DOI: 10.1016/j.rpth.2023.101949

Authors: M. Cheong, W. Wong, C. Tan, H. Kaur, D. Kanagalingam, T. Yong, H. Ng, L. Lee

Institution: Singapore General Hospital

Language: English

Topic: Pregnancy and preeclampsia studies

Subfield: Obstetrics and Gynecology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,250

OpenAlex ID: W4388601582

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