AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Fetal Blood

Showing 1 to 9 of 9 articles

Clear Filters

Prenatal exposure to persistent organic pollutants in Northern Tanzania and their distribution between breast milk, maternal blood, placenta and cord blood.

Environmental research
Human exposure to persistent organic pollutants (POPs) begins during pregnancy and may cause adverse health effects in the fetus or later in life. The present study aimed to assess prenatal POPs exposure to Tanzanian infants and evaluate the distribu...

Hyperbaric oxygen with cord blood transplants: Filling the donor gap.

The National medical journal of India
Aljitawi OS, Paul S, Ganguly A, Lin TL, Ganguly S, Vielhauer G, Capitano ML, Cantilena A, Lipe B, Mahnken JD, Wise A, Berry A, Singh AK, Shune L, Lominska C, Abhyankar S, Allin D, Laughlin M, McGuirk JP, Broxmeyer HE. (Division of Hematologic Maligna...

[Direct determination for 22 kinds of elements in umbilical cord serum by ICP-MS].

Wei sheng yan jiu = Journal of hygiene research
OBJECTIVE: A method for analysis of 22 kinds of elements in umbilical cord serum by inductively coupled plasma mass spectrometry( ICP-MS) was developed.

Preoperative cesarean delivery intravenous acetaminophen treatment for postoperative pain control: a randomized double-blinded placebo control trial.

American journal of obstetrics and gynecology
BACKGROUND: The United States currently has an opioid use disorder epidemic and research evaluating ways to minimize the use of opioids postsurgery are needed. One of these options is intravenous acetaminophen. If the use of preoperative intravenous ...

Maternal and umbilical cord plasma purine concentrations after oral carbohydrate loading prior to elective Cesarean delivery under spinal anesthesia: a randomized controlled trial.

BMC pregnancy and childbirth
OBJECTIVE: To evaluate the effect of preoperative intake of oral carbohydrates versus standard preoperative fasting prior to elective cesarean delivery on plasma purine levels (hypoxanthine, xanthine, and uric acid) and beta-hydroxybutyrate (β-HB) in...

Estimation of umbilical cord blood leptin and insulin based on anthropometric data by means of artificial neural network approach: identifying key maternal and neonatal factors.

BMC pregnancy and childbirth
BACKGROUND: Leptin and insulin levels are key factors regulating fetal and neonatal energy homeostasis, development and growth. Both biomarkers are used as predictors of weight gain and obesity during infancy. There are currently no prediction algori...

Sparsity-Penalized Stacked Denoising Autoencoders for Imputing Single-Cell RNA-Seq Data.

Genes
Single-cell RNA-seq (scRNA-seq) is quite prevalent in studying transcriptomes, but it suffers from excessive zeros, some of which are true, but others are false. False zeros, which can be seen as missing data, obstruct the downstream analysis of sing...

Analysis of Prospective Genetic Indicators for Prenatal Exposure to Arsenic in Newborn Cord Blood of Using Machine Learning.

Biological trace element research
Using a machine learning methods, we aim to find biological effect biomarkers of prenatal arsenic exposure in newborn cord blood. From the Gene Expression Omnibus (GEO) database, two datasets (GSE48354 and GSE7967) pertaining to cord blood sequencing...