Computational Toxicology Specialty Section 2024 Award Winner Presentations

When:  Nov 11, 2024 from 11:00 AM to 12:30 PM (ET)

Computational Toxicology Specialty Section 2024 Award Winner Presentations

Monday, November 11, 2024

11:00 AM to 12:30 PM (US EST, UTC -5)

Hosted by: The SOT Computational Toxicology Specialty Section

Registration required for this free webinar.

The 2024 winners of the Computational Toxicology Specialty Section (CTSS) awards will present their work in this webinar, which will conclude with a question-and-answer segment.

Presentations:

·       “Identifying Gene Predictors of Chemicals Linked with Breast Cancer: A Machine Learning Analysis of MCF7 Cellular Transcriptomic Screening Data”

Lauren Koval, PhD Candidate, The University of North Carolina at Chapel Hill, Yves Alarie Diversity Award

·       “A Cheminformatics Workflow for Higher-Throughput Modeling of Chemical Exposures from Biosolids”

Paul Kruse, Postdoctoral Fellow, US EPA, Postdoctoral Award

·       “Predicting Chemical Immunotoxicity Through Data-Driven QSAR Modeling of AhR Agonism and Related Toxicity Mechanisms”

Nada Daood, PhD Candidate, Rowan University, Elsevier Student Award

Registration required for this free webinar.

Location

Online Instructions:
Url: https://aim-hq.zoom.us/webinar/register/WN_DGn8IxLURBCWPy6tK1xvjg
Login: Registration required for this free webinar.

Contact

Julia Melone
(703) 438-3115
julia@toxicology.org