Human Chemical at ACT 2026

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

Human Chemical takes part in 5 sessions at ACT 2026 in San Antonio. Its program centres on AI in toxicology, including AI agents that combine lab results with computer predictions to propose hypotheses, and how to tell when a model gets it wrong. It also covers a platform pairing bioactivity prediction with PBPK exposure modeling to assess liver toxicity from chemicals.

OrganizationACT 2026 Attendance
humanchemical.com
Software and AI companies
Builds specialized AI agents for toxicology and regulatory work: in silico hazard prediction, PBPK modeling and drafting regulatory documents.
Session
Sun Nov 15
8:00am–11:30am
From Predictive Models to Collaborative Intelligence: The Role of Agentic AI in the Future of Toxicology (CE2)
In silico and AI · with Boehringer Ingelheim
  1. 8:00amWelcome and Course Overview (CE2-1)Human Chemical
  2. 8:05amAgentic AI 101: A Primer for Drug Discovery and Development Toxicologists (CE2-2)Taiho Oncology
  3. 8:30amAgentic AI Frameworks for Predictive Toxicology-Based Literature Searches (CE2-3)Coincidence Labs
  4. 9:00amSynthesizing Experimental Results and In-Silico Predictions for Autonomous Hypothesis Generation (CE2-4)Human Chemical
  5. 10:00amLeveraging Agentic AI to Reassess and Optimize Previously Failed Compounds (CE2-5)Ignota Labs
  6. 10:30amChemistry Foundation Models for Optimal Drug Design (CE2-6)deepmirror
Talk
Sun Nov 15
8:00am–8:05am
Part of From Predictive Models to Collaborative Intelligence: The Role of Agentic AI in the Future of Toxicology (CE2)
Welcome and Course Overview (CE2-1)
In silico and AI
Talk
Sun Nov 15
9:00am–9:30am
Part of From Predictive Models to Collaborative Intelligence: The Role of Agentic AI in the Future of Toxicology (CE2)
Synthesizing Experimental Results and In-Silico Predictions for Autonomous Hypothesis Generation (CE2-4)
In silico and AI
Talk
Mon Nov 16
9:50am–10:15am
Part of The Role of Professional Judgment in Toxicology amidst the Rise of Artificial Intelligence and Computational Tools (S02)
When AI Gets It Wrong: Interpreting Predictive Models from Omics and High-Content Data (S02-4)
In silico and AI
Talk
Tue Nov 17
9:05am–9:30am
Part of Next-Generation Liver Toxicity Assessment: Integrating Human-Relevant NAMs, AI, and Exposure Modeling (S07)
An Integrated NAM Platform Combining Bioactivity Prediction with PBPK and Literature Intelligence for Chemical Liver Toxicity Assessment (S07-2)
New approach methods · In silico and AI

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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