Submit Your 2025 SOT Hot Topic Session Idea, Your Ultimate 2025 SOT Meeting Guide Awaits, and More
Society of Toxicology (SOT)
Creating a safer and healthier world by advancing the science and increasing the impact of toxicology
Call for Hot Topic Session Proposals for 2025 SOT Annual Meeting?
Do you have a fresh idea for a Scientific Session that addresses a critical and timely topic in toxicology?? SOT is now inviting submissions for Hot Topic Sessions for the 2025 Annual Meeting!?
Your Comprehensive Guide to the 2025 SOT Annual Meeting and ToxExpo Is Here!?
Exciting news: The 2025 SOT Program PDF is now available! This 148-page guide contains important information about the SOT 64th Annual Meeting and ToxExpo.?
Adverse Reactions Podcast: Season 4, Episodes 2 and 3?
Available on all major podcast platforms “High Intensity Sweeteners with a Sugar Czar,” featuring Corey Scott, PhD, Principal Nutritionist, Cargill?
Available on all major podcast platforms “Snow Big Deal? Similar Exposures, Different Outcomes,” featuring Samantha Snow, PhD, DABT, Director of Toxicology, ICF
SOT Event Happening This Week?
Computational Toxicology Specialty Section 2024 Award Winner Presentations?
??? Date: Wednesday, December 11, 2024?
??Time: 3:00 PM to 4:30 PM (US EST, UTC -5)?
?? Hosted by: SOT Risk Assessment, SOT Biological Modeling, and Ethical, Legal, Forensics, and Societal Issues Specialty Sections?
Chief Medical Officer and Vice-Chancellor at MCI Diagnostic Center
2 个月Proposal Title: "Advancements in Artificial Intelligence for Predicting Toxicological Effects: Challenges and Opportunities" This session will explore the transformative role of artificial intelligence (AI) in predicting toxicological outcomes, focusing on the integration of AI models in hazard assessment, risk evaluation, and regulatory decision-making. Experts will discuss the potential of machine learning and deep learning algorithms to analyze complex toxicological data, from in vitro assays to chemical exposure databases. Topics will include AI’s ability to predict adverse outcomes in drug development, environmental toxicology, and consumer product safety, while addressing challenges such as data quality, model interpretability, and regulatory acceptance. By bringing together thought leaders from toxicology and AI, this session aims to highlight both the promises and limitations of AI in enhancing toxicological research and practice.