Qian-Yun Luo

Bridging the data latency gap: automated extraction of genomic biomarkers from unstructured clinical documents to support real-world oncology data

Real-world oncology data are essential for clinical research and precision cancer care. However, genomic biomarkers are often embedded in scanned, unstructured clinical documents requiring manual abstraction before becoming available in cancer registries, delaying real-world evidence generation. This study evaluated an...