About
Beyond Human Eyes: How AI Turned Routine H&Es from Qualitative to Quantitative Insights

Meredith Osborn
Associate Director Product Management, Discovery Life Sciences

Pathology H&E slides have a long history as a rich source of qualitative data used in both the clinical and research settings to better understand patients' pathology. However, our ability to generate quantitative data from these slides has been limited. Advances in targeted AI algorithms have created the potential to shift from small-cohort qualitative observations to large-scale quantitative data, empowering increased scalability and deeper insights. Examples of targeted AI use will include precise tumor percent evaluations, tumor-infiltrating lymphocyte cell counts, and identification of novel predicative biomarkers.

Unlocking Precision Medicine with Visionaire™: 30+ Years of Curated Biospecimen Data

Daryl Waggott Director - Biologics, Data Products, BioIVT

Discover how BioIVT’s 30+ years of expertise in collecting and curating high-quality biospecimens is driving new advancements in drug discovery and development. The presentation will delve into the unparalleled value of combining clinical, sociodemographic, and biospecimen data to support workflows integrating artificial intelligence (AI). Learn how Visionaire™ packages this data into actionable insights that empower researchers to accelerate breakthroughs in oncology, neurodegenerative diseases, and beyond.

CertisOI Assistant™ – Optimizing Preclinical Cancer Model Selection with Agentic AI

Luke Jervis Senior Software Engineer, Certis Oncology

Preclinical oncology researchers often struggle with identifying the most suitable tumor models due to limitations in traditional search platforms. This talk introduces CertisOI Assistant™, an AI-powered platform that supports researchers with natural language queries, dynamic model selection, and predictive analytics. By integrating proprietary PDX models with the Cancer Cell Line Encyclopedia (CCLE) and the CertisAI™ predictive intelligence platform, the tool allows researchers to search, refine, and visualize preclinical model selections in real time. The assistant supports exploratory research by generating targeted queries, running Python-based analyses, and producing interactive outputs—all while preserving security and privacy. This presentation will demonstrate how CertisOI Assistant enhances translational efficiency and early decision-making in oncology research.
Presenters
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Meredith Osborn
Associate Director Product Management, Discovery Life Sciences
Meredith Osborn, MS, is a biospecimen expert with over 15 years of experience in FFPE biobanking and other biospecimen solutions. As Associate Director of Product Management, she leads strategic initiatives to develop innovative products, meet research needs, and drive thought leadership in the field.
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Daryl Waggott
Director - Biologics, Data Products, BioIVT
Daryl Waggott is a pioneering force at the intersection of genomics, digital health, and AI-driven physiology. Daryl’s role at BioIVT is to help develop new data products that leverage the rich history of biospecimens. Data products include longitudinal disease collections, regulatory specific data sets and services. Previously, Daryl served as Director of Data Strategy and Technology Programs at Genome Canada, where he advanced national initiatives in precision medicine and federated data governance. His academic journey includes roles at Stanford University, where he contributed to groundbreaking projects integrating genomics and wearable data into next-generation electronic health records. With over 11,000 citations to his name, Daryl’s research spans statistical genetics, machine learning, and mobile health. His work continues to shape the future of individualized healthcare and performance science.
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Luke Jervis
Senior Software Engineer, Certis Oncology
Luke Jervis is a software engineer and lead developer of the CertisOI Assistant™, an AI-powered research platform at Certis Oncology Intelligence. With a background in full-stack development and AI system integration, he has played a key role in transforming how researchers interact with complex oncology datasets through intuitive and secure AI tools.
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