Research Keyword: biomonitoring

Enhancing Environmental and Human Health Management Through the Integration of Advanced Revitalization Technologies Utilizing Artificial Intelligence

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This paper describes how combining artificial intelligence with environmental monitoring can help us better understand how pollution harms our health. The authors propose a seven-step system that collects data on pollution levels in air, water, and soil alongside health information from communities. By using AI to analyze these massive datasets together, scientists and doctors can more quickly identify which pollutants are causing specific health problems and design better treatments for affected people and environments.

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Heavy Metal Exposure During Pregnancy and Its Association With Adverse Birth Outcomes: A Cross-Sectional Study

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This study examined how exposure to multiple heavy metals during pregnancy affects babies’ health in a Chinese population. Researchers measured metal levels in urine samples from nearly 500 pregnant women and found that higher combined metal exposure increased risks of premature birth and low birth weight. The metal arsenic was particularly harmful for preterm birth risk, while selenium, thallium, and manganese together increased low birth weight risk. These findings suggest that pregnant women in areas with heavy metal pollution should take steps to reduce their exposure.

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Diet and Blood Concentrations of Essential and Non-Essential Elements among Rural Residents in Arctic Russia

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Indigenous Arctic residents who eat traditional foods like fish and hunted game get important nutrients but may also absorb toxic metals like mercury, arsenic, and lead. This study of Russian Arctic communities found that eating different fish species and hunted goose was linked to higher levels of these metals in the blood. Interestingly, selenium from fish appeared to help protect against mercury toxicity, though the metals still warrant concern.

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