AIMC Topic: DNA Adducts

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Predictive Modeling of DNA Damage Outcomes: Classification of Mutational Determinants Using Augmented Machine Learning Techniques.

Chemical research in toxicology Oct 14, 2025
The mutational outcome of DNA damage as a direct result of constant chemical assault is governed by major factors, including the structure and nature of damage, replication, and repair machinery . The role of the size of the adduct, adduct-flanking b...
Machine Learning Logistic Models Support Vector Machine Decision Trees DNA DNA Damage Mutation DNA Adducts
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Machine learning-enhanced surface-enhanced spectroscopic detection of polycyclic aromatic hydrocarbons in the human placenta.

Proceedings of the National Academy of Sciences of the United States of America Feb 10, 2025
The detection and identification of polycyclic aromatic hydrocarbons (PAHs) and their derivatives, polycyclic aromatic compounds (PACs), are essential for environmental and health monitoring, for assessing toxicological exposure and their associated ...
Humans Machine Learning Pregnancy Female Adult Spectrum Analysis, Raman Placenta Polycyclic Aromatic Hydrocarbons Smoking DNA Adducts
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Impact of environmental pollution on human health: Investigating the role of Polycyclic Aromatic Hydrocarbons in pediatric osteosarcoma.

Ecotoxicology and environmental safety Sep 1, 2025
BACKGROUND: Polycyclic aromatic hydrocarbons (PAHs), widely emitted through industrial processes and vehicular exhaust, are recognized environmental carcinogens. Although PAH exposure has been linked to various malignancies, the specific molecular me...
Humans Female Male Molecular Docking Simulation Adolescent Child, Preschool Child Osteosarcoma Bone Neoplasms Environmental Pollution Environmental Pollutants Environmental Exposure Polycyclic Aromatic Hydrocarbons DNA Adducts
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