AIMC Topic: Pregnancy Trimester, First

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Fetal growth disorders detection during first trimester gestation through comprehensive maternal circulating DNA profiling.

Human molecular genetics
BACKGROUND: Early diagnosis, close follow-up and timely delivery constitute the main elements for appropriate detection and management of Fetal Growth Disorders (FGD). We hypothesized that fetoplacental FGD-associated alterations can be detected in c...

Effects of neonicotinoid pesticide exposure in the first trimester on gestational diabetes mellitus based on interpretable machine learning.

Environmental research
BACKGROUND: Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications and seriously threatens the health of mothers and offspring. Neonicotinoids (NEOs) is a new class of pesticide and widely used worldwide. Prenatal NEOs ...

Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps.

JAMA
IMPORTANCE: Accurate assessment of gestational age (GA) is essential to good pregnancy care but often requires ultrasonography, which may not be available in low-resource settings. This study developed a deep learning artificial intelligence (AI) mod...

A machine learning technology to improve the risk of non-invasive prenatal tests.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Timely and accurate diagnosis of genetic diseases can lead to proper action and prevention of irreparable events.

[Concentration of red blood cell folate and the analysis of folic acid supplement optimum time and dose in first trimester].

Wei sheng yan jiu = Journal of hygiene research
OBJECTIVE: To have a knowledge of prevalent red blood cell folate concentration in Beijing and analyzes optimum time and dose of folic acid supplement. To provide the basis data for making public health policy and clinical consultation.