Hazard & Dose-Response
Teleseminars
Upcoming HDRSG Seminars
Upcoming Webinar
Title: Prioritization of Human-Based Research at NIH
Date: September 16, 2026
Time: 12:00 pm Eastern Time
Speaker: Warren Casey, Ph.D., DABT, Director, Office of Research Innovation, Validation, and Application (ORIVA), National Institutes of Health (NIH)
To register for the Webinar, click here
Webinar Description:
NIH is adopting a new initiative to expand innovative, human-based science while reducing animal use in research. Developing and using cutting-edge alternative nonanimal research models aligns with the EPA and FDA efforts to reduce the use of animals for toxicity testing. To lead these efforts, NIH established ORIVA within NIH’s Office of the Director. ORIVA will coordinate NIH-wide efforts to develop, validate, and scale the use of non-animal approaches across the agency’s biomedical research portfolio and serve as a hub for interagency coordination and regulatory translation for public health protection.
About the Speaker:
Dr. Casey is the inaugural Director of the newly formed ORIVA at the NIH, where he leads an initiative to expand innovative, human-based science while reducing the use of animals in research. He is a Diplomate of the American Board of Toxicology and has held several key leadership positions during his 15 years with the federal government, including Executive Director of the Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM), Director of the National Toxicology Program Interagency Center for the Evaluation of Toxicological Methods (NICEATM), and President of the Society of Toxicology’s In Vitro and Alternative Methods Specialty Section. Prior to joining the federal workforce, he spent 15 years at GlaxoSmithKline leading investigative toxicology studies in support of small-molecule IND submissions
Previous HDRSG Seminars
U.S. Benchmark Dose Software: Tools, Guidance, and Harmonization, J. Allen Davis, U.S. Environmental Protection Agency, 24 June, 2026.
Revolutionizing Chemical Risk Assessment: An AI-Powered Rodent Digital Twin Platform for Quantitative Toxicity Evaluation, Kan Shao, Indiana University School of Public Health, 10 March, 2026.
Shraddha Karanth, University of Maryland, 14 November, 2023
Integrating machine learning and quantitative structure activity relationship modeling approaches to build an artificial intelligence-assisted physiologically based pharmacokinetic model for nanoparticles in tumor-bearing mice, Wei-Chun Chou, University of Florida, 12 September, 2023
Leveraging machine learning and artificial intelligence to enhance toxicological sciences and physiologically based pharmacokinetic modeling, Zhoumeng Lin, University of Florida, 12 September, 2023
Genetic Toxicology and Dose Response Data
George Johnson, Swansea University, 13 June, 2023
Assessing effects of mixtures of Per and Polyfluoroalkyl Substances (PFAS) using transcriptomic points of departure, Gregory Addicks, Health Canada, 7 March, 2023
Addressing Inter-individual Variabilities in Human Exposure and Toxicological Susceptibility in Environmental Risk and Impact Assessments, Dingsheng Li, University of Nevada, Reno, 1 November, 2022
Accelerating QA review of PBPK models: A template approach to model implementation
Amanda Bernstein, U.S. EPA, 13 September 2022
Bayesian model averaging for BMD estimation: Extension of model sets and distributions
José Cortiñas Abrahantes, EFSA, 7 June 2022
Advancing the use of transcriptomic points of departure for regulatory decision-making
Carole Yauk, University of Ottawa, 1 March 2022
A new method for characterizing inter-species toxicodynamic variability
Sarah D. Burnett, Texas A&M University, 2 November 2021
Individual, independent, and combined effects of toxic metals and manganese on hypertensive disorders of pregnancy, Michael Borghese, Health Canada
Chemical toxicity assessment using high-throughput transcriptomics and next generation sequencing: A case study of per- and polyfluoroalkyl substances, Anthony J.F. Reardon, Health Canada, 2 March 2021
Concentration-response Analysis of Image-based High-throughput Phenotypic Profiling Data for Chemical Bioactivity Screening, Johanna Nyffeler, U.S. EPA, 4 August 2020 | Video Presentation
High-throughput Transcriptomic Profiling of Chemicals for Risk Assessment Applications
Richard Judson, U.S. EPA, 5 May 2020 | Video Presentation
Recent Probabilistic and Computational Advances in Dose-Response Assessment to Better Support Chemical Risk Assessment, Weihsueh Chiu, Texas A&M University, 4 February 2020
Cox Proportional Hazard Regression and Splines: A Cautionary Tale for Exposure-Response Assessment
Dustin Long, University of Alabama Birmingham, 5 March 2019
Differences Between Scientific, Legal, and Public Policy Uses of Probability
Nathan Schachtman, Esq., (SRA Risk Policy and Law Specialty Group), 7 August 2018
The NTP Proposed Approach to Genomic Dose-Response Modeling
Scott Auerbach, National Toxicology Program (NTP), 7 August 2018
New Data for Dose Response, Specifically Using Toxcast Data
Richard Judson, U.S. Environmental Protection Agency, 3 April 2018
Machine Learning in Dose-Response Assessment: Translating Science to Decisions (Abstract)
Jacqueline MacDonald Gibson, University of North Carolina at Chapel Hill, 6 March 2018
Considerations for the Dose‐Response Analyses of Inorganic Arsenic Health Outcomes
Jeff Gift, U.S. EPA, 3 October 2017
Understanding the Biochemical Origin of Sigmoidal Dose Responses: Ultrasensitive Response Motifs
Qiang Zhang, Emory University, 5 September 2017
Using 21st Century Science for Risk-related evaluations: An Overview of the NAS Risk21 Report
Jonathan Samet, George Daston, & Lauren Zeise, On behalf of the National Academies Risk21 Committee, 1 August 2017
Exposure‐Response in Environmental Toxicology and Risk Assessment, from Receptors to Ecological Landscapes
Wayne G. Landis, Western Washington University, 2 May 2017
Health and Economic Consequences of Endocrine Disruptors in the US and EU
Leo Transande, New York University, 4 April 2017
Facilitated Discussion: Mentoring in Risk Assessment
2 February 2017