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Discover how BioIVT’s 40+ years of expertise in collecting and curating high-quality biospecimens is driving new advancements in drug discovery and development. This presentation delves 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. Key Takeaways: o How BioIVT’s clinically curated and data rich biospecimens support AI-driven research workflows and enhance drug discovery and development pipelines. o The unique value propositions of Visionaire™, including data quality, reproducibility, and scalability, and how they empower precision medicine across therapeutic areas. Download the slides: https://bioivt.com/educational-conten... Questions, comments and requests: https://bioivt.com/about/contact-us More information on our research services and biospecimens: https://bioivt.com/ Other previously aired webinars: https://bioivt.com/educational-conten...) Upcoming webinar notifications: https://info.bioivt.com/subscription-... Presented by: Daryl Waggott, Director of Biologics, Data Products at 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.