Poster: Enabling Real-Time Analytics in Clinical Trials

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  • Autors: Ardigen: Łukasz Kozak, Bohdan Bondar, Filip Chrzan, Błażej Szczerba, Anna Sanecka-Duin, Piotr Faba Ryvu Therapeutics: Kamila Olech, Przemysław Szczygieł, Karol Rorat, Joanna Macnar, Aleksandra Mazgaj, Daniel Grzywczak, Rafał Wojdan
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Building an AI-Ready Clinical Data Platform

About the poster

Ryvu Therapeutics, in collaboration with Ardigen, transitioned from traditional data silos to a unified, AI-ready platform using the Databricks Lakehouse for Clinical Trials Management. The key drivers behind this transformation like near real-time analytics, scalable data integration, and AI readiness are explored. The solution unifies diverse clinical datasets, ensures regulatory compliance, and leverages cloud-based scalability across AWS, GCP, and Azure. This case study showcases how modern data architectures empower clinical teams and senior management to make faster, data-driven decisions while laying the groundwork for AI innovations in clinical research.

This poster was originally presented during the BioIT 2025 Conference.

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