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Natural Language Processing Methods Automate Molecular Marker Extraction From Glioma Pathology Reports
0
Zitationen
16
Autoren
2026
Jahr
Abstract
Simple Natural Language Processing approaches effectively automate molecular marker extraction from pathology reports with near-perfect accuracy while requiring minimal computational resources. This enables expanded sample sizes in retrospective studies, multi-institutional analyses of rare molecular subgroups, and accelerated biomarker research. Future work will focus on validation across larger data sets, infrastructure integration, and expansion to additional molecular markers.
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