Science Inventory

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Current computational technologies hold promise for prioritizing the testing of the thousands of chemicals in commerce. Here, a case study is presented demonstrating comparative risk-prioritization approaches based on the ratio of surrogate hazard and exposure data, called margin...

Background Knowing which environmental chemicals contribute to metabolites observed in humans is necessary for meaningful estimates of exposure and risk from biomonitoring data. Objective Employ a modeling approach that combines biomonitoring data with chemical metabolism informa...

The Air Pollutants Exposure Model (APEX) is a stochastic population-based inhalation exposure model which (along with its earlier version called pNEM) has been used by the U.S. Environmental Protection Agency (EPA) for over 30 years for assessment of human exposure to airborne po...

The rapid characterization of risk to humans and ecosystems from exogenous chemicals requires information on both hazard and exposure. The U.S. Environmental Protection Agency&rsquo;s ToxCast program and the interagency Tox21 initiative have screened thousands of chemicals in var...

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Learning objectives: 1) What is HTTK? 2) For what can I use HTTK? 3) How does HTTK simulate human variability? 4) On what information is HTTK human variability simulator based? HTTK allows dosimetric adjustment of high-throughput screening (HTS) data. Chemical-specific HTTK data ...

This presentation will describe EPA/ORD activities in using QSUR models to inform tentative chemical identifications in NTA studies.

This talk describes recent work by ORD to collect and curate meaningful information on chemical use from public documents. The talk covers data types, curation technologies, organization of data into useful harmonized categories, and tentative plans for public applications for di...

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This talk describes the linkage between chemical use and exposure pathways, describes EPA Quantitative Structure Use Relationship (QSUR models), and provides a brief overview of current QSUR applications, areas for improvement/refinement, and data needs.&nbsp;

The Systematic Empirical Evaluation of Models (SEEM) is a probabilistic, consensus prediction using multiple HTE models and other predictors .&nbsp;Various High-Throughput Exposure (HTE) models provide the predictions for different aspects of exposure.&nbsp;Monitoring data provid...

Air pollution epidemiology studies of ambient fine particulate matter (PM2.5) and ozone (O3) often use outdoor concentrations as exposure surrogates. Failure to account for variability of indoor infiltration of ambient PM2.5 and O3, and time indoors can induce exposure errors. We...

The rapid characterization of risk to humans and ecosystems from exogenous chemicals requires information on both hazard and exposure. The U.S. Environmental Protection Agency's ToxCast program and the interagency Tox21 initiative have screened thousands of chemicals in various h...

Estimates of exposure are critical to prioritize and assess chemicals based on risk posed to public health and the environment. The U.S. Environmental Protection Agency (EPA) is responsible for regulating thousands of chemicals in commerce and the environment for which exposure d...

Background Although evidence linking environmental chemicals to breast cancer is growing, mixtures-based exposure evaluations are lacking. Objective This study aimed to identify environmental chemicals in use inventories that co-occur and share properties with chemicals that have...

Epidemiological studies of ambient fine particulate matter (PM2.5) and ozone (O3) often use outdoor concentrations from central-site monitors as exposure surrogates. Failure to account for variability of indoor infiltration of ambient PM2.5 and O3, time spent indoors, and persona...

Epidemiological studies of ambient fine particulate matter (PM2.5) and ozone (O3) often use outdoor concentrations from central-site monitors as exposure surrogates. Failure to account for variability of indoor infiltration of ambient PM2.5 and O3, and time spent indoors can intr...

Toxicokinetics (TK) is key for interpreting high-throughput screening (HTS) data in a public health risk context (Coecke et al., 2012). High Throughput TK (HTTK) is the combination of chemical-independent (generic) PBTK models and in vitro measurements of key TK determinants (pla...

Overview for Interagency committee meeting.&nbsp;

Thousands of chemicals used in commerce require screening and prioritization for potential human and ecological health risks. Chemical prioritization requires information about both hazard and exposure. To fill data gaps for exposure, US EPA&rsquo;s ExpoCast program is developing...

For decades, environmental studies have looked to targeted analysis methods for accurate quantification of chemical exposures. The applicability of targeted analysis methods is limited to chemicals for which there are readily obtainable analytical standards, thus inhibiting chara...

Thist is a summary of research conducted by the Environmental Protection Agency (EPA) )to develop a full-scale emissions test method that characterizes the application and post-application emissions from spray polyurethane foam (SPF) insulation The primary objectives of the resea...

The US-EPA Center for Computational Toxicology and Exposure (CCTE) has been generating data and building software applications and web-based chemistry databases for over a decade. To support our efforts to develop new approaches to prioritize chemicals based on potential human he...

EPA is considering eliminating animal testing to establish chemical safety by 2035. Awareness of research efforts to advance NAMs in Europe will help EPA be more efficient with its own resources and allow synergies to be developed throughout the scientific community.

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