: Perfluorooctane sulphonate (PFOS) is a persistent environmental contaminant with well-documented hepatotoxic properties. Nicotinamide, the amide derivative of vitamin B3, is widely utilized as a nutritional supplement and exerts multiple biological...
Detecting PFAS is challenging due to their diverse chemical structures, lack of standards, complex sample matrices, and the need for sensitive equipment to measure trace levels. Background contamination and the sheer number of PFAS further hinder the...
We report a machine learning (ML)-assisted liquid crystal (LC) droplet array platform for the detection of per- and polyfluoroalkyl substances (PFAS) in water. Our approach uses an autoencoder network to process thousands of images obtained from arra...
Per- and polyfluoroalkyl substances (PFAS) are highly resistant to conventional degradation methods due to the exceptional stability of their C-F bonds. As a result, current degradation technologies often rely on high energy inputs and excessive use ...
Extensive investigations into the increasingly severe contamination of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in groundwater are currently causing high costs and long duration. Machine learning provides useful tools for predicting the o...
Esophageal cancer (ESCA) is a significant malignancy with rising global incidence rates and considerable impacts on patient survival and quality of life. Current diagnostic and therapeutic strategies face limitations, necessitating research into its ...
Perfluorinated compounds (PFCs) are persistent environmental pollutants with potential carcinogenicity, posing a major threat to ecosystems and human health. Rapid identification of PFCs in complex environmental matrices remains challenging due to th...
BACKGROUND: Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals with widespread environmental persistence and human exposure. Currently, no studies have used machine learning (ML) to predict depression based on PFAS exposure. This stud...
Predicting the soil sorption capacity for perfluoroalkyl and polyfluoroalkyl substances (PFAS) is pivotal for environmental risk assessment. However, traditional experimental methods are inefficient, necessitating computational model development. We ...
Journal of chemical information and modeling
Jul 22, 2025
Fraction unbound in plasma () is a crucial parameter in physiologically based toxicokinetic (PBTK) models, representing the fraction of a chemical compound that is not sequestered by plasma proteins when present in the bloodstream. This is often used...
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