Real-time, de-identified clinical data mined from electronic medical records across dozens of health systems — structured codes plus unstructured clinician notes, pathology reports, labs, and genomics/omics — processed via NLP/AI to surface trial-eligible patient cohorts and disease-progression signals, with deep oncology genomic coverage (19,000+ genes, 30,000+ locus-specific mutation names).
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