Artificial Womb Technology for Extremely Premature Neonates
Preclinical Neurodevelopmental Outcomes
Bibliographic Data
| ID | 15713576 |
|---|---|
| Authors | Felix R De Bie (0000-0002-0363-1233, Duke University), Chelsea Zhang (Duke University), Chelsea J Zhang (Duke University), Sharla Rent (0000-0002-8577-478X, Duke University), Jeffrey B Russ (0000-0001-8781-686X, Duke University), Kevin Ig-Izevbekhai (0000-0002-3300-2382, Duke University), Ryan M Antiel (0009-0008-0118-3466, Duke University, corresponding author) |
| Year | 2025 |
| Volume | 13 |
| Issue | 1 |
| Pages | 47-47 |
| Publication date | 2025-12-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Children (JOURNAL) |
| Journal identifiers | ISSN: 2227-9067 • E-ISSN: 2227-9067 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/children13010047 |
| PMID | 41597055 |
| OpenAlex | W7117716686 |
| Language | EN |
| References cited | 111 |
In this narrative review, we examine current neurological and neurodevelopmental outcomes associated with extreme prematurity, specifically in infants born between 22 and 24 weeks of gestational age. In addition, we explore the scientific and clinical rationale for the development of artificial womb technology and provide an overview of the current state of the art in preclinical models. For each model, we review and analyze the neurological outcomes, including structural, developmental, and functional outcomes, evaluating their limitations in anticipation of imminent clinical translation
Anticipation (artificial intelligence · Gestational age · MEDLINE · Narrative review · Premature birth · Infant Development and Preterm Care · Neonatal and fetal brain pathology · Preterm Birth and Chorioamnionitis
| Highly cited | No |
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