Identifying Women at High Risk for Breast Cancer Using Data From the Electronic Health Record Compared With Self-Report Using publicly available translation tables along with clinician and other ...
A cohort of patients with incident breast, colorectal, and lung cancer were randomly distributed into six groups. The algorithm was iteratively modified, and the performance was assessed until no ...
Using a computational algorithm, researchers at Children's Hospital of Philadelphia analyzed noncoding genetic mutations to discover how they factor into 5 pediatric cancers. Noncoding mutations make ...
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