Unstructured clinical data remains a critical bottleneck in precision health. In a recent project, Verily, UCHealth, the University of Colorado Anschutz, and RefinedScience partnered to address this challenge using Verily Refinery.
The case study explores how to automate the curation of complex, multimodal data for Acute Myeloid Leukemia (AML), a highly heterogeneous disease.
The case study explores how to automate the curation of complex, multimodal data for Acute Myeloid Leukemia (AML), a highly heterogeneous disease.
Unlocking unrecognized value
Key results from the study:
- 95%+ accuracy on complex variables
- An estimated 30x faster data abstraction
Unlock the unseen value with precision data
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