Abstract:
:Precision medicine requires appropriate application of genomics in clinical practice. In cancer, we have witnessed practice-changing examples of how genomic knowledge is translated into more tailored and effective therapies. The next opportunity is to embed cancer genomics in clinical context so that patient-centric longitudinal clinical, genomic, and molecular phenotypes can be compiled for adaptive learning between precision medicine research and clinical care with the goal of accelerating clinically-actionable discoveries. We describe here an adaptive learning platform, APOLLO™ (adaptive patient-oriented longitudinal learning and optimization) designed to integrate genomic research in the context of, but not in the path of, routine and investigational clinical care for purposes of enabling data-driven discovery across disciplines such that every patient can contribute to and potentially benefit from research discoveries.
journal_name
Trends Cancerjournal_title
Trends in cancerauthors
Chin L,Wargo JA,Spring DJ,Kantarjian H,Futreal PAdoi
10.1016/j.trecan.2015.07.010subject
Has Abstractpub_date
2015-09-01 00:00:00pages
36-43issue
1eissn
2405-8033issn
2405-8025pii
S2405-8033(15)00011-4journal_volume
1pub_type
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