Society of Toxicology 65th Annual Meeting (SOT)

Event Dates

March 22, 2026 - March 25, 2026

Event Location

North America
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Area of Interest

Discovery, Regulatory Submission, SEND, Study Management

Society of Toxicology 65th Annual Meeting (SOT)

Located at the San Diego Convention Center

Instem will be exhibiting at SOT 2026, the Society of Toxicology’s 65th Annual Meeting. We will be showing our solutions that support toxicology research, safety assessment, and regulatory decision-making. Visit us at Booth 1435 to learn how our solutions help advance toxicological science and improve confidence in safety outcomes.

Join our Exhibitor-Hosted Sessions

‘AI vs. SEND: The Smartest Shortcut or a Regulatory Disaster Waiting to Happen?’ AI promises efficiency in SEND dataset creation, but misuse can potentially lead to costly errors and regulatory chaos. In this session, we reveal pitfalls, where AI excels, and where human expertise is irreplaceable; especially in interpreting the SEND Implementation Guide. Learn how to harness AI responsibly without compromising compliance or data integrity. 
Presented by Marc Ellison, Product Director, Regulatory Solutions
Tuesday 24th March, 12:15pm-1:15pm, Room: 23B Convention Center

‘Accelerating Read-Across: A High-Efficiency Workflow for E&L Risk Assessment’ Read-across evaluates analog similarity and relevance of available data. These steps are often slowed by scattered toxicological data and the challenge of identifying analogs quickly. This presentation introduces a software supported workflow that streamlines assessments by rapidly identifying and ranking potential analogs. We will showcase: 

  • The integration of study summaries and systemic endpoints
  • An interactive evaluation feature capturing user decisions on study suitability
  • A conservative analog-specific screening exposure value for triage and prioritization 

Presented by Candice Johnson, Product Manager
Wednesday 25th March, 12:15 PM–1:15 PM, Room: 23A.

Check Out Our Scientific Poster Sessions

Poster Board A142: Metabolism of Selected N-Nitrosamine Drug Substance-Related Impurities: Insights from the MUTAMIND Project, Author: Kevin Cross, Director of Insilico Science and Business Development

Poster Board F506: Assessing the data landscape of extractables and leachables (E&L) and implementing strategies to fill data gaps, Author: Dr Candice Johnson, Product Manager

Provantis®
Streamlines end-to-end workflows for preclinical study management. Ask about our new Non-GLP Pathology module!

Logbook™
An electronic laboratory notebook (ELN) that simplifies and streamlines the digitization and documentation of lab processes.

SEND Advantage™ Outsourced Services and Consulting
A suite of services that ensure your nonclinical data meets the Standard for Exchange of Nonclinical Data (SEND) submission requirements. 

Submit™ Seamless Electronic SEND Submissions
Improves the speed and quality of new pharmaceutical developments by enabling the efficient exchange of critical study data between sponsors, CROs and regulators.

Cyto Study Manager™
Enables improved management of genotoxicity studies, delivering enhanced accuracy, documentation and compliance.

Leadscope Model Applier™
An advanced In Silico toxicology tool that helps scientists predict toxicity endpoints, review results with confidence, and generate regulatory-compliant reports. Ask the team for a demo of our new Toxicity Profiler!

KnowledgeScan™
Technology-enabled Target Safety Assessment service enabling researchers to make smarter, faster, data driven decisions.

Centrus®
This powerful tool consolidates and structures data from various sources into a unified, accessible platform, enabling high-quality data management and seamless data sharing for early-stage research.

Advance™
A comprehensive solution supporting the  ICH S1B Weight of Evidence Addendum for assessing carcinogenicity risk.  Advance streamlines early-stage safety evaluations, reducing costs, saving valuable time, and minimizing the need for animal testing.

Predict™
Our Predict service uses advanced QSAR techniques to streamline early-stage safety assessments through predictive modeling. Enables researchers to evaluate potential toxicity risks quickly, supporting data-driven decision-making and reducing the need for subject testing.

Want to talk in more detail? Contact us to schedule a 1:1 meeting. We look forward to seeing you there!

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