Results 201 to 210 of about 58,515 (333)

Brain Pericytes and Wnt/β‐Catenin Signaling Induce Functional Blood–Brain Barrier Phenotype in Human iPSC‐Derived Model

open access: yesSmall Methods, EarlyView.
This study shows that human iPSC‐derived endothelial cells acquire a functional blood–brain barrier phenotype when co‐cultured with brain pericytes and stimulated with CHIR‐99021, a Wnt/β‐catenin activator. This model recapitulates key barrier properties, inflammatory responses, and transcriptomic features of the native human BBB, offering new ...
Henrique Nogueira Pinto   +12 more
wiley   +1 more source

Reflected hemodynamic waves influence the pattern of Doppler ultrasound waveforms along the umbilical arteries.

open access: yesAm J Physiol Heart Circ Physiol, 2019
Sled JG   +12 more
europepmc   +1 more source

Hemodynamic Impact of Absent or Reverse End-Diastolic Flow in the Two Umbilical Arteries in Growth-Restricted Fetuses

open access: gold, 2013
Édouard Lecarpentier   +7 more
openalex   +2 more sources

Reference charts for first‐trimester placental three‐dimensional fractional moving blood volume derived using OxNNet

open access: yesUltrasound in Obstetrics &Gynecology, EarlyView.
ABSTRACT Objective To establish a comprehensive reference range for first‐trimester placental three‐dimensional (3D) single‐vessel fractional moving blood volume (svFMBV) using the OxNNet toolkit, based on values observed in healthy pregnancies.
S. Mathewlynn   +11 more
wiley   +1 more source

Umbilical artery blood flow velocity in pregnancies complicated by systemic lupus erythematosus [PDF]

open access: bronze, 1998
Dan Farine   +6 more
openalex   +1 more source

Deep learning assessment of fetal brain maturation on 3D ultrasound volumes in early‐onset fetal growth restriction

open access: yesUltrasound in Obstetrics &Gynecology, EarlyView.
ABSTRACT Objectives To quantify fetal brain maturation in fetuses with early‐onset fetal growth restriction (FGR) by estimating gestational age (GA) based on the appearance of gyrification and individual brain structures from three‐dimensional (3D) ultrasound volumes using a deep‐learning model trained on optimally developing subjects.
L. Meijerink   +7 more
wiley   +1 more source

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