The emergence of cloud-based data commons is both a response to the call for fair scientific data stewardship and to the challenge of scaling consumer-facing precision medicine. The advancement towards cloud-hosted cancer data platforms mirrors a broader trend towards stateless API ecosystems for user-governed application development. This is particularly the case in cancer prevention, where the goal ultimately is to avoid the need for treatment. Accordingly, reference data will typically be exposed publicly, while its contextualization will rely on the individual’s own mobile computing resources through web applications (“apps”). This discussion will be illustrated with a number of practical applications, ranging from serverless traversal of the 20 million patient-encounter records of New York’s Statewide Planning and Research Cooperative System (SPARCS) to the contextualization of NCI’s Genomic Data Commons (GDC). Presentation material at bit.ly/appCommons; open source code at github.com/episphere.

Citation Format: Jonas S. Almeida. How digital disintermediation (“apps”) and cloud computing change the precision prevention landscape [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA18.

©2020 American Association for Cancer Research.
2020
American Association for Cancer Research.