Snapshot: Trial Types in Precision Medicine
Author(s) -
Dane J. Dickson,
Jennifer M. Johnson,
Raymond C. Bergan,
Rebecca Owens,
Vivek Subbiah,
Razelle Kurzrock
Publication year - 2020
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2020.02.032
Subject(s) - snapshot (computer storage) , data collection , observational study , biology , medical physics , data quality , personalized medicine , data science , strengths and weaknesses , clinical trial , computer science , computational biology , bioinformatics , pathology , statistics , database , medicine , engineering , metric (unit) , operations management , philosophy , mathematics , epistemology
Integrating precision diagnostics into personalized treatments requires understanding how biomarkers relate to clinical outcomes. Various clinical data collection methods exist, each with strengths and weaknesses. Interventional data are high quality but narrowly focused. Real-world data (RWD) provide broader information but with variable quality. Master protocols allow better efficiency in data collection. The master observational trial bridges the gap between interventional and retrospective RWD collection methods. To view this SnapShot, open or download the PDF.
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