RTI International
3040 E Cornwallis Rd
Research Triangle Park, NC 27709
United States
Join the American Society for Cellular and Computational Toxicology (ASCCT) for their 13th Annual Meeting from October 28-30 in Research Triangle Park, NC. ASCCT—a professional society focusing on all aspects of in vitro and computational toxicology—convenes industry, academic, advocacy, and regulatory scientists to advance new approach methodologies (NAMs). The 2024 Annual Meeting will feature poster presentations, oral sessions, panel discussions, and workshops on topics such as developmental neurotoxicity, tools for cardiotoxicity, addressing sex differences in toxicology, regulatory implementation needs for inhalation, new approaches for botanical safety assessment, and more.
RTI International (RTI) will host the Annual Meeting at its campus in Research Triangle Park, NC. RTI CEO Tim Gabel will deliver opening remarks, and RTI experts will be presenting throughout the conference on topics such as best practices and reporting standards for the Trans-Epithelial Electrical Resistance (TEER) assay, clustering chemicals for predicting behavior and hazards, data standards to support integrated source to outcome modeling, and more. View the full list of RTI presentations below and learn more about using NAMs solutions for challenges in toxicology testing, pharmaceutical development, and biomedical research.
**NOTE: Due to security restrictions on the RTI campus, advanced registration is required. Non-US Citizens must register by October 7, and US citizens must register by October 20. No on-site registration will be available. Register here via the ASCCT website.
Considerations for best practices and minimum reporting standards for the Trans-Epithelial Electrical Resistance (TEER) assay in context for the evaluation of inhalation toxicology data
Tuesday, 10/29 | 3:00-6:00PM ET
Erin Huber, PhD
Categorizing Articles for Environmental Health Systematic Evidence Mapping: A Zero-Shot Machine Learning Approach Using Large Language Models
Flash Poster Session I | Monday, 10/28 | 11:00-11:30AM ET
Poster Session II | Monday, 10/28 | 6:00-7:30PM ET
Jonathan Holt, PhD
Bringing Order to Chaos: Systematically Mapping Extracted Ecotoxicological Literature Data to Ontological Adverse Outcome Concepts
Poster Session II | Monday, 10/28 | 6:00-7:30PM ET
Patricia Ceger
Data Standards to Support Integrated Source to Outcome Modeling
Poster Session II | Monday, 10/28 | 6:00-7:30PM ET
David Hines, PhD
Integrated Application and Transformation of the Adverse Outcome Pathway (AOP) Framework for Modeling Evidence and Advancing New Approach Methodologies (NAMs)
Poster Session II | Monday, 10/28 | 6:00-7:30PM ET
Virginia Hench, PhD
Common Liquid Application Dosing Conditions Alter Toxicity Testing Endpoints in Air-Liquid Interface Primary Human Bronchial Epithelial Cultures
Poster Session II | Monday, 10/28 | 6:00-7:30PM ET
Erin Huber, PhD
Advances in Computational Tools to Support Systematic Evidence Mapping
Poster Session II | Monday, 10/28 | 6:00-7:30PM ET
Michael Long
Clustering Chemicals for Predicting Behavior and Hazards: Insights from the Endocrine Disruptor Screening Program (EDSP) Universe of Chemicals
Poster Session IV | Tuesday, 10/29 | 2:00-3:00PM ET
Bethany Cook, Mark Nelms, PhD
New Approach Methods to Avoid Acute Oral Toxicity Testing in Animals
Date/Time TBD
Paul Mosquin, PhD
Special thanks to RTI expert Shaun McCullough, PhD, who is a member of the ASCCT Board of Directors and on the meeting organizing committee.
October 9, 2024
The North Carolina Society of Toxicology (NCSOT) Annual Meeting will focus on the emerging field of microplastics research covering the potential impacts of microplastics exposure, toxicological concerns, and effects on human and ecosystem health within North Carolina and globally.
Learn more about NC Society of Toxicology 2024 Annual Meeting
This webinar, featuring experts from the National Institute of Environmental Health Sciences (NIEHS) and RTI International, focused on the critical considerations for the development, characterization, and validation of artificial intelligence/machine learning-based NAMs, the challenges and opportunities associated with regulatory acceptance of these innovative methods, the value of characterizing the parameters for in vivo physiology-relevant endpoint assays for interpreting data within and across studies, and more.
