RHP Risk Management’s Ashish Jachak, PhD will present on “A Review of Quantitative Structure-Permeability Relationship Models Which Predict Dermal Absorption of Chemicals” at the 2024 International Society of Exposure Science (ISES) Annual Meeting in Montreal, Canada, October 20-24, 2024. The ISES annual meeting brings together top industry professionals, decision makers, academia, and government to discuss and share ideas on innovation and research in exposure science, epidemiology, toxicology, and risk assessments.
Dr. Jachak will speak in the session “Improving Consumer Product Exposure Assessment: New Tools, Models, and Analyses to Better Estimate Exposure and Potential Health Risks”. Dr. Jachak will discuss the extensive research to date that has investigated dermal penetration of chemicals and examine the data that this research has relied upon to develop quantitative structure permeability relationship (QSPR) models for skin permeation predictions. He will show how to optimize the QSPR selection process, the hierarchal scheme for model validity and applicability. With a hierarchal scheme in place, researchers can choose the appropriate QSPR model to predict the permeability coefficient for a given chemical compound which can then be used to estimate dermal exposure.
About RHP Risk Management
RHP scientists are well versed in exposure modeling, laboratory and field-based quantification of exposures, and toxicology and use a combination of of these expertise to assess potential risks to human health and the environment. RHP collaborates with chemical manufacturers, product manufacturers, consumer good, pharmaceutical, and legal entities to help gain a better understanding of risk profiles of chemicals, identify safer and sustainable alternatives, bolster decision making via use of robust scientific methods, and formulate economically and technically feasible risk management measures. RHP scientists rely on scientifically accepted and recognized approaches in toxicology, exposure modeling and quantification, dose response, benchmark dose modeling, and physiologically based pharmacokinetic modeling to address questions regarding risk profiles of chemicals, identifying safer & sustainable alternatives, enhancing the understanding of risk that leads to better decision making, and implementing risk management measures to effectively and efficiently reduce exposures for workers and consumers.