Artificial intelligence in pregnancy: A scoping review

AM Oprescu, G Miro-Amarante, L García-Díaz… - IEEE …, 2020 - ieeexplore.ieee.org
Artificial Intelligence has been widely applied to a majority of research areas, including
health and medicine. Certain complications or disorders that can appear during pregnancy …

Recent advancements in low-cost portable sensors for urban and indoor air quality monitoring

A Hernández-Gordillo, S Ruiz-Correa… - Air Quality, Atmosphere …, 2021 - Springer
The spatiotemporal heterogeneity of the air pollutants complicates appropriate monitoring.
The collective measures or crowdsensing is a promising approach to achieve a better air …

Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach

C Qi, HB Ly, Q Chen, TT Le, VM Le, BT Pham - Chemosphere, 2020 - Elsevier
Polymer-assisted flocculation-dewatering of mineral processing tailings (MPT) is crucial for
its environmental disposal. To reduce the number of laboratory experiments, this study …

[HTML][HTML] Prenatal fine particulate matter exposure, placental DNA methylation changes, and fetal growth

Y Zhao, P Wang, Y Zhou, B Xia, Q Zhu, W Ge, J Li… - Environment …, 2021 - Elsevier
This study was designed to examine the impact of prenatal fine particulate matter (PM 2.5)
exposure on fetal growth and the underlying placental epigenetic mechanism in a cohort of …

A practical framework for predicting residential indoor PM2. 5 concentration using land-use regression and machine learning methods

Z Li, X Tong, JMW Ho, TCY Kwok, G Dong, KF Ho… - Chemosphere, 2021 - Elsevier
People typically spend most of their time indoors. It is of importance to establish prediction
models to estimate PM 2.5 concentration in indoor environments (eg, residential …

[HTML][HTML] Impact of lifetime air pollution exposure patterns on the risk of chronic disease

CY Tsai, CL Su, YH Wang, SM Wu, WT Liu… - Environmental …, 2023 - Elsevier
Long-term exposure to air pollution can lead to cardiovascular disease, metabolic
syndrome, and chronic respiratory disease. However, from a lifetime perspective, the critical …

[HTML][HTML] Evaluating the effectiveness of air purification in the real-world living and learning environment for pupils: A randomized, double-blind, crossover intervention …

Q Jiang, Y Zhu, Y Du, J Lei, Y Zhang, X Xue… - … Technology & Innovation, 2023 - Elsevier
Air purification has been proven to be an effective method for reducing personal fine
particulate matte (PM 2.5) exposure. A randomized, double-blind, crossover intervention trial …

Early pregnancy PM2. 5 exposure and its inorganic constituents affect fetal growth by interrupting maternal thyroid function

Y Zhou, Q Zhu, P Wang, J Li, R Luo, W Zhao… - Environmental …, 2022 - Elsevier
Early pregnancy is crucial for fetal growth. Maternal thyroid hormone is critical for fetal
growth and can be disturbed under exogenous exposure. However, it's uncertain whether …

[HTML][HTML] Necessity of personal sampling for exposure assessment on specific constituents of PM2. 5: Results of a panel study in Shanghai, China

X Lei, R Chen, C Wang, J Shi, Z Zhao, W Li… - Environment …, 2020 - Elsevier
Many epidemiological studies have evaluated the health risks of ambient fine particulate
matter (PM 2.5). However, few studies have investigated the potential exposure …

A comprehensive GPS-based analysis of activity spaces in early and late pregnancy using the ActMAP framework

K Samuelsson, I Rivas, B Raimbault, A Domínguez… - Health & Place, 2025 - Elsevier
Health implications of mobility during pregnancy entail a need to understand pregnant
women's activity spaces. We present ActMAP, a framework for quantifying multiple aspects …