AIMC Topic: Metals, Heavy

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The impact of multipollutant exposure on hepatic steatosis: a machine learning-based investigation into multipollutant synergistic effects.

Frontiers in public health Jan 1, 2025
INTRODUCTION: This study examines the synergistic effects of multi-pollutant exposure on hepatic lipid accumulation in non-alcoholic fatty liver disease (NAFLD) through the application of an explainable machine learning framework. This approach addre...
Humans Machine Learning Biomarkers Female Adult Male Middle Aged Nutrition Surveys Environmental Pollutants Environmental Exposure Non-alcoholic Fatty Liver Disease Polycyclic Aromatic Hydrocarbons Volatile Organic Compounds Metals, Heavy
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Developing machine learning models for predicting cardiovascular disease survival based on heavy metal serum and urine levels.

Frontiers in public health Jan 1, 2025
BACKGROUND: Environmental exposure to heavy metals, such as arsenic, cadmium, and lead, is a known risk factor for cardiovascular diseases.
Humans Machine Learning Female Risk Factors Aged Adult Male Cardiovascular Diseases Middle Aged Nutrition Surveys Environmental Exposure Metals, Heavy
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