Thomas Luechtefeld to Present AI System at PharmSci 360
The Insilica founder will discuss agentic AI systems at the upcoming conference in New Orleans this October.
Updated on Oct. 21, 2026 in Artificial Intelligence
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Insilica founder and CEO Thomas Luechtefeld is scheduled to present on agentic AI systems on October 28, 2026, at the AAPS 2026 PharmSci 360 conference in New Orleans. The presentation will explore how advanced AI frameworks are reshaping toxicology research.
Why it matters
As predictive models evolve into broader decision-making ecosystems, toxicology tools must increasingly incorporate regulator guidance and demonstrate full auditability. This shift is critical for ensuring that AI-driven risk and hazard assessments remain both transparent and compliant with regulatory standards.
The RASAR machine learning approach has successfully evaluated 190,000 chemicals, achieving 87% balanced accuracy across nine distinct OECD test types.
The players
Thomas Luechtefeld
He is the founder and CEO of Insilica who developed the RASAR machine learning approach for chemical evaluation.
Insilica
This company develops AI-driven toxicology tools and maintains a presence at industry conferences like PharmSci 360.
The details
Insilica’s approach utilizes agentic AI to comprehensively retrieve and organize database information, providing auditable processes that track queries and results. The firm has also made its ToxIndex platform available to academic and regulatory researchers to support standardized toxicology workflows.
Timeline
October 25-28, 2026: AAPS 2026 PharmSci 360 conference takes place in New Orleans.
October 28, 2026: Thomas Luechtefeld presents on agentic AI systems.
1 to 2 years: Expected timeline for shifts in toxicology team workflows.
The Tech Race
This development marks a shift toward integrating agentic AI into established regulatory frameworks like the OECD Guidelines for the Testing of Chemicals. By automating data retrieval and ensuring auditability, firms are competing to move beyond static predictive models toward dynamic, AI-governed ecosystems.
Researchers and regulatory teams will gain access to more auditable and efficient toxicology workflows that improve data traceability. By utilizing tools like ToxIndex, these professionals can reduce the manual burden of chemical database queries during safety assessments.
The takeaway
Toxicology teams should prepare for a transition toward AI-driven agentic systems that prioritize process transparency. Implementing these auditable tools can help organizations maintain compliance while accelerating the pace of their chemical hazard assessments.
Further reading
Learn more about the latest innovations in Artificial Intelligence.
Source note: This article includes information reported by BioPharm International.
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