National Institutes of Health at ACT 2026

Nov 15–18, 2026 San Antonio, TX ~1.4k attendees Website

National Institutes of Health takes part in 6 sessions at ACT 2026 in San Antonio. Its program centres on computational toxicology, from building reliable QSAR models that predict toxicity from chemical structure to the role of expert judgment as AI tools spread. It also covers repurposing GLP-1 receptor agonists to treat addiction.

Organization

ACT 2026 Attendance

National Institutes of Health

Bethesda, MD

nih.gov

Government agencies and regulators

US federal medical research agency that funds and conducts biomedical research across 27 institutes and centers.

Session

Sun Nov 15
1:00pm–4:30pm

Quantitative Structure–Activity Relationship Demystified: Foundations, Best Practices, Regulatory Use, and Practical Applications (CE8)

In silico and AI · with JRF Global

1:00pmIntroduction (CE8-1)JRF Global
1:05pmFoundations of QSAR: Principles, Model Types, and the Science Behind Structure–Activity Relationships (CE8-2)JRF Global
1:30pmBuilding Reliable QSAR Models: Standardized Workflows, Data Quality, and Practical Modeling Considerations (CE8-3)National Institutes of Health
2:00pmIntegrating QSAR Modeling and Weight-of-Evidence into Read-Across Frameworks (CE8-4)Sciome
3:00pmOECD QSAR Toolbox in Practice: Chemical Profiling, Category Formation, Read-Across, Data Gap Filling, and Interpretation (CE8-5)Physicians Committee for Responsible Medicine

Talk

Sun Nov 15
1:30pm–2:00pm

Part of Quantitative Structure–Activity Relationship Demystified: Foundations, Best Practices, Regulatory Use, and Practical Applications (CE8)

Building Reliable QSAR Models: Standardized Workflows, Data Quality, and Practical Modeling Considerations (CE8-3)

In silico and AI

Talk

Mon Nov 16
9:00am–9:05am

Part of The Role of Professional Judgment in Toxicology amidst the Rise of Artificial Intelligence and Computational Tools (S02)

Introduction (S02-1)

In silico and AI

Session

Mon Nov 16
9:00am–12:00pm

The Role of Professional Judgment in Toxicology amidst the Rise of Artificial Intelligence and Computational Tools (S02)

In silico and AI · with Certara

9:00amIntroduction (S02-1)National Institutes of Health
9:05amEnhancing Toxicological Literature Review through AI and Expert Insight (S02-2)ToxStrategies
9:25amNo Spreadsheet Left Unharmonized: A Human-in-the-Loop Framework for AI-Assisted Toxicology Data Extraction and Standardization (S02-3)Certara
9:50amWhen AI Gets It Wrong: Interpreting Predictive Models from Omics and High-Content Data (S02-4)Human Chemical
10:45amChemical Similarity in Practice: Navigating Endpoint-Agnostic and Endpoint-Specific Approaches (S02-5)National Institutes of Health
11:15amIntegrating Artificial Intelligence and Professional Expertise in Structure-Activity Assessments (S02-6)Inductive Bio

Talk

Mon Nov 16
10:45am–11:15am

Part of The Role of Professional Judgment in Toxicology amidst the Rise of Artificial Intelligence and Computational Tools (S02)

In silico and AI

Talk

Wed Nov 18
3:45pm–4:15pm

Part of Hot Topics (S18)

Winning the Rat Race: Repurposing GLP-1 Receptor Agonists for Addiction (S18-5)

Neurotoxicology

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Not affiliated with or endorsed by the American College of Toxicology (ACT). Organization details are derived from ACT’s published program, exhibitor floor plan and supporter list, and each organization’s own website. Submit a correction