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Open Access 2025 Webinar: Harnessing AI and Advanced Analytics for Donor Selection and Starting Material Characterisation

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Join us for a dynamic 60-minute webinar exploring how artificial intelligence (AI), data analytics and machine learning (ML) are transforming donor selection and starting material characterization for cell and gene therapy (CGT) manufacturing. Featuring experts in the industry, this session will dive into cutting-edge algorithms developed for predicting donor availability, donor selection for allogeneic HSCT and CGT and optimizing cell therapy collections. Learn how ML is being applied to optimize stem cell transplantation, personalize cell collection procedures, and characterize donor cell profiles for successful CGT manufacturing. Plus, speakers will share real-world case studies, pilot data, and insights from clinical and lab settings. Whether you’re in CGT, research & development, manufacturing or clinical operations, this webinar offers a roadmap for integrating AI/ML into your workflows and tackling donor-related complexities with data-driven precision.

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Harnessing AI and Advanced Analytics for Donor Selection and Starting Material Characterisation
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Open to view video. Join us for an insightful five-part ISCT webinar series designed to demystify artificial intelligence (AI), machine learning (ML) and predictive analytics in the cell and gene therapy field. In the first session, we’ll break down key AI/ML definitions and discuss why data standardization—including preferred formats like JSON over PDFs—is crucial for successful digital transformation. We’ll highlight ongoing efforts from NIMBL and NIST aimed at improving interoperability. The subsequent webinars will delve into real-world examples, showing how ML can accelerate breakthroughs in CGT through predictive analytics, modeling tools, and insightful case studies, such as donor characterisation and T-cell activation tracking. The series concludes by looking ahead to regulatory and ethical challenges, practical lifecycle applications of AI across CGT workflows, and considerations for effective tool selection. Whether you’re a biologist, data scientist, or industry leader, this series promises actionable insights and frameworks to bridge disciplines and advance innovation in cell and gene therapy.
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