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Last Posted: Sep 16, 2023

• Pregnant and Living with Sickle Cell Disease: A Push for Better Outcomes
  NIH, September 2023
• Experts say Found’s story highlights the extraordinary complexity of the problem for pregnant people living with SCD – and the critical importance of receiving proper, specialized care as early as possible. This is especially true now that medical advances in care and disease-modifying therapies have helped many people living with SCD survive well through their reproductive years. For parents-to-be, that means awareness is key. Individuals with SCD are at higher risk than the general population for preeclampsia, as Found discovered; but those with preeclampsia can go on to develop a condition called eclampsia, which can lead to seizures and even coma. People with SCD are also at higher risk for sepsis and blood clots. And there are risks for the fetus, such as lower-than-normal growth in the womb, preterm delivery, and stillbirth.
  K Miller, Self, September 2023
• Using the methylome to predict pre-eclampsia
  Tu’uhevaha J. Kaitu’u-Lino et al, Nature Medicine, August 28, 2023
• Machine learning and disease prediction in obstetrics.
  Zara Arain et al. Curr Res Physiol 2023 6100099
• Polygenic prediction of preeclampsia and gestational hypertension.
  Michael C Honigberg et al. Nat Med 2023 5
• Association of Hypertensive Disorders of Pregnancy With Future Cardiovascular Disease.
  Bilal Rayes et al. JAMA network open 2023 6(2) e230034
• Dynamic gestational week prediction model for pre-eclampsia based on ID3 algorithm.
  Li Ziwei et al. Frontiers in physiology 2022 131035726
• Preeclampsia, Genomics and Public Health
  E Dawson et al, CDC Blog Post, October 25, 2022
• Global Trends in Research on Cell-Free Nucleic Acids in Obstetrics and Gynecology during 2017-2021.
  Gao Wenyan et al. Journal of clinical medicine 2022 11(19)
• Adverse pregnancy outcomes in women with systemic lupus erythematosus: can we improve predictions with machine learning?
  Fazzari Melissa J et al. Lupus science & medicine 2022 9(1)
• Clinical impact of additional findings detected by genome-wide non-invasive prenatal testing: Follow-up results of the TRIDENT-2 study.
  van Prooyen Schuurman Lisanne et al. American journal of human genetics 2022 109(6) 1140-1152
• Managing Atherosclerotic Cardiovascular Risk in Young Adults: JACC State-of-the-Art Review.
  Stone Neil J et al. Journal of the American College of Cardiology 2022 79(8) 819-836
• A blood test to predict pre‑eclampsia
  K O'Leary, Nature Medicine, January 2022
• RNA profiles reveal signatures of future health and disease in pregnancy
  M Rasmussen et al, Nature, January 7, 2022
• Novelelectronic health records applied for prediction of pre-eclampsia: Machine-learning algorithms.
  Li Yi-Xin et al. Pregnancy hypertension 2021 26102-109
• APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation.
  Pietsch Maximilian et al. Medical image analysis 2021 72102145
• Comparison of Multivariable Logistic Regression and Other Machine Learning Algorithms for Prognostic Prediction Studies in Pregnancy Care: Systematic Review and Meta-Analysis.
  Sufriyana Herdiantri et al. JMIR medical informatics 2020 Nov 8(11) e16503
• Machine learning as a strategy to account for dietary synergy: an illustration based on dietary intake and adverse pregnancy outcomes.
  Bodnar Lisa M et al. The American journal of clinical nutrition 2020 Feb
• DEGUM, ÖGUM, SGUM and FMF Germany Recommendations for the Implementation of First-Trimester Screening, Detailed Ultrasound, Cell-Free DNA Screening and Diagnostic Procedures.
  Kozlowski Peter et al. Ultraschall in der Medizin (Stuttgart, Germany : 1980) 2019 Apr 40(2) 176-193
• Pre-eclampsia: pathophysiology and clinical implications
  GJ Burton et al, BMJ, July 16, 2019

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