Over the last decade, the oncology landscape has transformed: the number of clinical trials has doubled, and precision medicine now requires increasingly granular characterization of patient subpopulations. However, for healthcare institutions, the reality on the ground remains complex: siloed data, heterogeneous formats (PDFs, unstructured reports), and interoperability issues continue to hinder the full exploitation of this information.

In this white paper based on a conference hosted by Resilience Care, three leading experts share their visions and concrete feedback on navigating these challenges:

• Dr. Alexandre De Nonneville (Medical Oncologist, Institut Paoli-Calmettes)
• Anne-Laure Martin (Director of Data & Partnerships, Unicancer)
• Marco Fiorini (CEO, Artificial Intelligence & Cancer Network - FIAC)

What you will discover in this white paper:

• Overcoming Barriers: A clear analysis of the organizational and technical obstacles (quality, completeness, regulation) affecting the structuring of Real-World Data (RWD).
• Concrete Initiatives: How Unicancer is deploying the Onco Data Hub (ODH) program and how the Paoli-Calmettes Institute manages multi-omics translational research projects.
• The Role of AI and LLMs: The opportunities offered by Large Language Models to automate data structuring and ensure reliable collection, particularly within the context of Early Access Programs.
• The Industrial Perspective: Moving from a broad overview to precise, actionable data to demonstrate the value of therapeutic innovations to health authorities.

Download the full white paper to understand how to shape the future of medicine through a pragmatic and innovative data strategy.