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Machine leaning models to predict the risk of preterm birth

Machine leaning models to predict the risk of preterm birth
机器学习模型预测早产风险
批准号:
2733975
负责人:
金额:
$0.0万
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
翻译
该项目将:-交叉验证胎盘和胎儿细胞群(细胞力学,胶原蛋白,炎症生物标志物)的实验数据与计算模型,以预测膜故障的污染风险。开发一个个体特征的生物标志物数据库,将妇女的临床数据(母体和脐带血,羊水,完整胎盘)与妇女人口统计学中的风险因素(胎龄,BMI,邮政编码位置,工作/家庭生活方式,PPROM的原因)联系起来。使用实验和临床数据来学习关系,并构建机器学习工具,自动分析和预测PPROM和早产风险更高的女性。怀孕期间子宫内胎儿周围的胎膜完整性对正常发育至关重要。一旦胎膜破裂或受损,它们无法愈合,直到怀孕结束才留下缺陷。这种情况被称为早产胎膜早破(PPROM)。怀孕期间暴露于空气污染与PPROM有关,导致早产。空气污染主要来自化石燃料的燃烧和工业排放,已成为所有年龄组所有人的一个重大全球公共卫生问题。在英格兰,PPROM影响九分之一的怀孕,在伦敦,这一比例每年增加到七分之一。联合国儿童基金会执行主任警告空气污染对未出生婴儿的危险。妊娠期、婴儿期和幼儿期的环境损害将对整个生命周期产生长期影响。目前,没有临床解决方案来改善胎膜破裂后的愈合。
英文摘要
The Project will:-Cross-validate experimental data from placenta and fetal cell populations (cell mechanics, collagen, inflammatory biomarkers) with computational models to predict the risk of membrane failure to pollution.-Develop a biomarker database of individual characteristics linking clinical data from women (maternal and umbilical cord blood, amniotic fluid, intact placenta) with risk factors taken from women's demographics (gestational age, BMI, postcode location, work/home lifestyle, causes of PPROM).-Use experimental and clinical data to learn relationships and build machine learning tools that will automate analysis and predict women who are at greater risk of PPROM and preterm birth.The integrity of the fetal membranes that surrounds the baby in the womb during pregnancy is vital for normal development. Once the fetal membranes have ruptured or are damaged, they fail to heal leaving a defect until the end of pregnancy. This condition is called pre-term premature rupture of the fetal membranes (PPROM). Exposure to air pollution during pregnancy is associated with PPROM leading to preterm birth. Air pollution results mainly from the combustion of fossil fuels and from industrial emissions and has become a major global public health issue for all people in all age groups. In England, PPROM affects 1 in 9 pregnancies and in London, this increases to 1 in 7 annually. Unicef Executive Director warned the dangers of air pollution to unborn babies. Environmental harm during gestation, infancy and early childhood will have long term impacts across the lifetime. Currently, there are no clinical solutions to improve healing of the fetal membranes after they rupture.
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