As cell, gene and RNA therapies progress into later stages of development, teams face increasing difficulty assembling consistent, traceable evidence from diverse data sources to support timely program decisions. Multimodal data generated across assays, sites and platforms are frequently fragmented, forcing teams to rely on manual integration and limiting confidence in governance updates and regulatory narratives. This webinar examines how a measurable evidence approach can replace disconnected workflows and support decision-making at scale.

The featured speakers will explore how structured data ingestion, cataloging and governance can be aligned to support advanced modalities, with particular attention to trusted research environment patterns that enable controlled access, collaboration and auditability. Attendees will learn how these foundations support reproducible analysis while maintaining compliance expectations across internal and external stakeholders.

The webinar will also discuss how natural-language querying and standardized AI and machine-learning workflows can reduce time spent on data preparation and enable faster exploration across time points and modalities. Real-world use cases will illustrate how teams can move from raw data to decision-ready evidence without relying on ad hoc scripts or manual reconciliation.

Watch this webinar to learn how cell, gene and RNA therapies teams can operationalize multimodal evidence to improve decision velocity, traceability and governance readiness.