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1:00-2:00 pm ET / 17:00-18:00 UTC

Featuring: Tom Luechtefeld, PhD, Insilica Founder & CEO

Regulatory toxicology assessments require synthesizing evidence across dozens of data sources, computational tools, and regulatory frameworks. Traditional approaches require toxicologists to manually execute each step: query databases, run QSAR models, extract literature claims, format outputs, and compile sections into standardized templates. This manual orchestration is time-consuming, error-prone, and limits the number of chemicals that can be assessed.

This webinar will demonstrate a multi-stage workflow architecture where specialized AI agents execute discrete stages—database queries, tool execution, evidence synthesis, section writing—in dependency-ordered sequences. Each stage produces structured outputs that feed downstream stages, enabling complete regulatory documents (REACH dossiers, OECD reports, risk assessments) to be generated from a chemical structure input.

During a live walkthrough covering workflows spanning substance identification to risk characterization, Dr. Luechtefeld will show real-time stage execution and evidence retrieval from a knowledge graph spanning thousands of databases—condensing weeks of manual work into a 15-minute demonstration.

Attendees will see:

• How dependency graphs ensure correct execution order across toxicological endpoints
• How agents handle data gaps by routing to predictive models when experimental data is absent
• How provenance tracking maintains regulatory traceability (every claim linked to source)
• How the same workflow infrastructure generates multiple output formats (HTML reports, IUCLID XML, custom templates)

• Learn workflow design principles applicable to attendees’ own NAM pipelines
• Understand how multi-agent orchestration maintains regulatory credibility
• See practical strategies for audit-ready AI-generated assessments

About the Presenter
Dr. Tom Luechtefeld is the founder and CEO of Insilica, a computational toxicology company pioneering agentic AI for regulatory science. Under his leadership, Insilica has developed multiple platforms including Sysrev for systematic literature review, and ToxIndex, an AI platform that orchestrates prediction tools and regulatory workflows through autonomous agents to generate comprehensive, regulatory-grade toxicology assessments.

Dr. Luechtefeld’s vision centers on AI agents performing single, constrained tasks that collectively execute scientific workflows and produce regulatory-grade documents. This approach has positioned Insilica at the forefront of computational toxicology, supported by grants from federal agencies and commercial partnerships with pharmaceutical, agrochemical, and chemical companies worldwide.

He holds a PhD in computational biology and is a frequent speaker on the intersection of AI, regulatory science, and the future of chemical risk assessment.