Kristin K. Isaacs, Ph.D.
Affiliations: | 2002 | Vanderbilt University, Nashville, TN |
Area:
Biomedical EngineeringGoogle:
"Kristin Isaacs"Mean distance: (not calculated yet)
Parents
Sign in to add mentorThomas M. Harris | grad student | 2002 | Vanderbilt | |
(Visualization -based sensitivity and identifiability analyses for models of capillary transport and pharmacokinetics.) |
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Publications
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Zaleski RT, Ahrens A, Arnot JA, et al. (2023) Quantitative Structure Use Relationships: Highlights from a technical summit meeting. Regulatory Toxicology and Pharmacology : Rtp. 145: 105516 |
Buckley TJ, Egeghy PP, Isaacs K, et al. (2023) Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency. Environment International. 178: 108097 |
Isaacs KK, Wall JT, Paul Friedman K, et al. (2023) Screening for drinking water contaminants of concern using an automated exposure-focused workflow. Journal of Exposure Science & Environmental Epidemiology |
Minucci JM, Purucker ST, Isaacs KK, et al. (2023) A Data-Driven Approach to Estimating Occupational Inhalation Exposure Using Workplace Compliance Data. Environmental Science & Technology. 57: 5947-5956 |
Langstaff J, Glen G, Holder C, et al. (2023) A sensitivity analysis of a human exposure model using the Sobol method. Stochastic Environmental Research and Risk Assessment : Research Journal. 36: 3945-3960 |
Isaacs KK, Egeghy P, Dionisio KL, et al. (2022) The chemical landscape of high-throughput new approach methodologies for exposure. Journal of Exposure Science & Environmental Epidemiology |
Stanfield Z, Setzer RW, Hull V, et al. (2022) Bayesian inference of chemical exposures from NHANES urine biomonitoring data. Journal of Exposure Science & Environmental Epidemiology |
El-Masri H, Paul Friedman K, Isaacs K, et al. (2022) Advances in computational methods along the exposure to toxicological response paradigm. Toxicology and Applied Pharmacology. 450: 116141 |
Isaacs KK, Wall JT, Williams AR, et al. (2022) A harmonized chemical monitoring database for support of exposure assessments. Scientific Data. 9: 314 |
East A, Dawson D, Glen G, et al. (2021) The Residential Population Generator (RPGen): Parameterization of Residential, Demographic, and Physiological Data to Model Intraindividual Exposure, Dose, and Risk. Toxics. 9 |