Artificial intelligence (AI) and machine learning (ML) require large datasets for accurate model training and validation. The labor-intensive process of harmonizing and analyzing multimodal data is often far beyond the capability of individual research teams or institutions.
Learn how Flywheel was chosen as a medical imaging data platform for a multi-institutional partnership sponsored by the National Institutes of Health, the INCLUDE project. By connecting previously disconnected datasets, Flywheel and the CAVATICA data analysis and sharing platform enable researchers and patients across the world to generate new insights into pediatric diseases and ensure more inclusive research and treatment approaches.
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