Litcius/Paper detail

Modeling the transplacental transfer of small molecules using machine learning: a case study on per- and polyfluorinated substances (PFAS)

Dimitri Abrahamsson, Adi Siddharth, Joshua F. Robinson, Anatoly A. Soshilov, S. Elmore, Vincent Cogliano, Carla A. Ng, Elaine M. Khan, Randolph S. Ashton, Weihsueh A. Chiu, Jennifer Fung, Lauren Zeise, Tracey J. Woodruff

2022Journal of Exposure Science & Environmental Epidemiology22 citationsDOIOpen Access PDF

Topics & Concepts

TransplacentalCord bloodApplicability domainPlacentaChemistryPopulationQuantitative structure–activity relationshipFetusStereochemistryMedicinePregnancyBiologyInternal medicineEnvironmental healthGeneticsPer- and polyfluoroalkyl substances researchToxic Organic Pollutants ImpactEffects and risks of endocrine disrupting chemicals
Modeling the transplacental transfer of small molecules using machine learning: a case study on per- and polyfluorinated substances (PFAS) | Litcius