
Discover. Accelerate. Advance.
Visit Instem at Booth #1033 to learn more about our industry-leading SaaS Products & Services for R&D that drive discovery, accelerate studies and advance your research.
We will also be sharing our thought leadership through a variety of presentations, posters and Exhibitor Hosted Sessions. See below for further details.
We look forward to meeting you.
Instem Event Schedule at SOT 2025
Tuesday, March 18
Exhibitor Hosted Event: Computational toxicology to support safety assessment of extractables and leachables (E&Ls)
Presented by Candice Johnson, Product Manager & Frances Hall, Scientific Application Director
4:30 pm – 5:30 pm, Room W209A
Wednesday, March 19
Symposium Presentation 1245: Extraction of Knowledge from Proprietary Datasets for the Advancement of QSAR Models
(Main Session – Progress of Silico Methodologies – 8 am – 10.45 am)
Presented by Candice Johnson, Product Manager
9.05 am – 9.35 am, Room W203A
Exhibitor Hosted Event: A Future for Pharma: Modern Management from Studies to Submissions
Presented by Frances Hall, Scientific Application Director, Marc Ellison, Director, SEND Solutions & Brenda Finney, Director of Product, Data Insights
12:15 pm – 1:15 pm, Room W209A
Thursday, March 20
Workshop Session 1342: Use of Read-Across in Different Scenarios: Lessons Learned and Best Practices Implementation
Presented by Kevin Cross, Director of Science, Instem
9.25 am – 9.50 am, Room W203A
We are also pleased to be involved in the following posters:
Session: Computational Toxicology II
Session Date & Time: March 18, 9.15 am – 11.45 am
Abstract Number/Poster Board: 4043/J537
Title: AI Applications in Predictive Toxicology Supporting Drug Safety Assessments
Presenting Author: Kevin Cross, Instem
Session: Computational Toxicology II
Session Date & Time: March 18, 9.15 am – 11.45 am
Abstract Number/Poster Board: 4020/J514
Title: Best practices of read-across for the qualification of non-genotoxic impurities
Presenting Author: Manuela Pavan, Innovatune, Co-Author, Kevin Cross, Instem
Session: Computational Toxicology II
Session Date & Time: March 18, 9.15 am – 11.45 am
Abstract Number/Poster Board: 4269/Q786
Title: Characterization of Structural Clusters for Extractable and Leachable (E&L) Risk Assessment
Presenting Author: Arianna Bassan, Innovatune, Co-Author, Kevin Cross, Instem
Instem applications are in use by customers worldwide, meeting the rapidly expanding needs of life science and healthcare organizations for data-driven decision-making leading to safer, more effective products.
Data Insights Solutions
Instem’s Data Insights Solutions streamline data capture and analysis, enabling researchers to manage complex data efficiently and drive actionable key findings. By enhancing workflow efficiency, data integrity, and predictive analytics, Instem empowers organizations to accelerate discovery research and bring new therapies to market faster. We have several Data Insights products and services, such as Leadscope Model Applier™, KnowledgeScan™, Predict™ service, and more!
Study Management Solutions
Instem’s robust research study management software enables researchers to capture, manage, and report data across discovery, preclinical, and early clinical phases more efficiently. Our comprehensive suite of tools supports complex study needs, helping organizations move from data collection to regulatory submission with confidence and efficiency, enabling them to bring new drugs to market faster. Key solutions include Provantis®, Logbook™, Cyto Study Manager™ and more!
Regulatory Submission Solutions
Instem’s Regulatory Submission Solutions provide end-to-end support for generating, converting, and validating SEND-compliant datasets. By prioritizing quality and consistency, Instem’s SEND tools help organizations ensure their data is always ready for regulatory review, significantly reducing the risk of delays, rejections, or resubmissions. With a complete suite that includes SEND Advantage™ Services and Submit™ software, Instem empowers research organizations to deliver accurate, high-quality datasets quickly and with confidence. Learn more