{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T22:40:21Z","timestamp":1779403221320,"version":"3.53.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686615","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T00:00:00Z","timestamp":1779321600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,21]]},"abstract":"<jats:p>Preeclampsia (PE) is a hypertensive disorder of pregnancy characterized by endothelial dysfunction, impaired uteroplacental perfusion, and high maternalfetal morbidity. Although modern biomarkers provide early diagnostic potential, few predictive systems connect molecular imbalance to physical flow abnormalities. Using our previous results, we developed a Physics-Informed Digital Twin that simulates uteroplacental hemodynamics under real physiological constraints. The twin integrates mean arterial pressure, soluble fms-like tyrosine kinase-1, placental growth factor, hepatic function, and neonatal outcomes. The NavierStokes equations govern uterine blood-flow dynamics, while a Physics-Informed Neural Network updates model parameters from clinical inputs. Simulated uterine-artery resistance indices correlated strongly with Doppler-measured values (R2 = 0.88, p &lt; 0.001). The model reproduced the association between high sFlt-1\/PlGF ratios (&gt; 85), MAP &gt; 110 mmHg, and increased rates of preterm birth (&gt; 70 %) and neonatal intensive-care unit admissions (&gt; 60 %). The PI-DT links angiogenic imbalance to measurable hemodynamic dysfunction, enabling interpretable maternalfetal risk prediction.<\/jats:p>","DOI":"10.3233\/shti260193","type":"book-chapter","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T21:58:00Z","timestamp":1779400680000},"source":"Crossref","is-referenced-by-count":0,"title":["Physics-Informed Digital Twin of Maternal\u2013Fetal Hemodynamics for Predictive Risk Simulation in Preeclampsia"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1084-2714","authenticated-orcid":false,"given":"Elena Silvia","family":"Bernad","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynecology, Faculty of Medicine, \u201cVictor Babes\u201d University of Medicine and Pharmacy, Timisoara, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9700-7732","authenticated-orcid":false,"given":"L\u0103cr\u0103mioara","family":"Stoicu-Tivadar","sequence":"additional","affiliation":[{"name":"Faculty of Automation and Computers, Politehnica University Timi\u015foara, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7349-8685","authenticated-orcid":false,"given":"Mihaela","family":"Cri\u015fan-Vida","sequence":"additional","affiliation":[{"name":"Faculty of Automation and Computers, Politehnica University Timi\u015foara, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4246-3707","authenticated-orcid":false,"given":"Brenda Cristiana","family":"Bernad","sequence":"additional","affiliation":[{"name":"Doctoral School, \u201cVictor Babes\u201d University of Medicine and Pharmacy, Timisoara, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Opening the Personal Gate between Technology and Health Care"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260193","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T21:58:00Z","timestamp":1779400680000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260193"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,21]]},"ISBN":["9781643686615"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260193","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,21]]}}}