[1]
|
An artificial intelligence approach for investigating multifactorial pain-related features of endometriosis
PLOS ONE,
2024
DOI:10.1371/journal.pone.0297998
|
|
|
[2]
|
Organochlorines in the riverine ecosystem of Punjab province, Pakistan: contamination status, seasonal variation, source apportionment, and ecological risk assessment
Environmental Science and Pollution Research,
2023
DOI:10.1007/s11356-022-24528-x
|
|
|
[3]
|
Organochlorines in the riverine ecosystem of Punjab province, Pakistan: contamination status, seasonal variation, source apportionment, and ecological risk assessment
Environmental Science and Pollution Research,
2023
DOI:10.1007/s11356-022-24528-x
|
|
|
[4]
|
An exposure to endocrine active persistent pollutants and endometriosis — a review of current epidemiological studies
Environmental Science and Pollution Research,
2022
DOI:10.1007/s11356-022-24785-w
|
|
|
[5]
|
Associations between persistent organic pollutants and endometriosis: A multipollutant assessment using machine learning algorithms
Environmental Pollution,
2020
DOI:10.1016/j.envpol.2020.114066
|
|
|
[6]
|
Human epidemiological evidence about the associations between exposure to organochlorine chemicals and endometriosis: Systematic review and meta-analysis
Environment International,
2019
DOI:10.1016/j.envint.2018.11.065
|
|
|
[7]
|
Occurrence, ecological risk assessment, and spatio-temporal variation of polychlorinated biphenyls (PCBs) in water and sediments along River Ravi and its northern tributaries, Pakistan
Environmental Science and Pollution Research,
2017
DOI:10.1007/s11356-017-0182-0
|
|
|
[8]
|
Relative effect potency estimates of dioxin-like activity for dioxins, furans, and dioxin-like PCBs in adults based on cytochrome P450 1A1 and 1B1 gene expression in blood
Environment International,
2016
DOI:10.1016/j.envint.2016.08.016
|
|
|