Megan Garlapow, PhD

All articles by Megan Garlapow, PhD

• Study finds maternal depression may affect child development

  Perinatal depression could reduce how much mothers interact with their children, which is tied to a higher risk of developmental delays.

• AI may improve pregnancy care through earlier diagnosis

  AI tools may help detect pregnancy risks such as FNAIT earlier and allow care plans to adjust in real time based on each patient.

• Study: First-trimester scan improves detection of fetal conditions

  Implementing a first-trimester scan substantially increased the detection of fetal anomalies compared to standard second-trimester screening.

• Infant diagnosed with sudden fetal anemia despite normal test results

  A case report highlighted how a rare but serious fetal blood loss condition can develop suddenly, even after recent normal scans.

• Study: Transfusions linked to brain injury risk in very preterm infants

  More red blood cell transfusions were linked to a higher risk of brain injury and eye disease in very preterm infants.

• Genetic testing expands access to fetal treatments before birth

  Carrier screening can identify pregnancies that could benefit from early intervention, which could help prevent severe disease.

• Mice study: Potential trigger and prevention strategy for FNAIT

  A recent study of mice showed that preventive antibodies may safely keep FNAIT from affecting the fetus.

• IVIG helps prevent dangerous bleeding in fetuses and infants

  A review found intravenous immunoglobulin can prevent life-threatening bleeding and intracranial hemorrhage in pregnancies affected by FNAIT.

• Artificial intelligence use growing in transfusion medicine

  Nearly half of surveyed specialists reported using artificial intelligence to support transfusion medicine, which is used to treat FNAIT.

• Steroids during pregnancy linked to higher risk of long-term respiratory illness

  For families affected by FNAIT, the findings highlight the importance of balancing prenatal treatments with long-term monitoring.