PD3 Clouds & Computational Methods

Personal, Dense, Dynamic Data (PD3) Clouds are a central resource of the lab in the support of scientific wellness, P4 healthcare and disease studies. Initial focus has been on the collection genomic, metabolomic, proteomic and gut microbiomic data, along with digital health measures from wearables and lifestyle questionnaires. However, in principal, any longitudinal data collected from individuals can be incorporated PD3 clouds to contribute to the global quantification and understanding of the individual for the purpose of tracking (and intervening in) health trajectories.

PD3 clouds and their use are described in recent seminal publications from the lab:

Lessons Learned as President of the Institute for Systems Biology (2000-2018). Hood LE. Genomics Proteomics Bioinformatics. 2018 Feb;16(1):1-9. doi:10.1016/j.gpb.2018.02.002. PMID: 29496591

A wellness study of 108 individuals using personal, dense, dynamic data clouds.  Price ND, Magis AT, Earls JC, Glusman G, Levy R, Lausted C, McDonald DT, Kusebauch U, Moss CL, Zhou Y, Qin S, Moritz RL, Brogaard K, Omenn GS, Lovejoy JC, Hood L. Nat Biotechnol. 2017 Aug;35(8):747-756. doi: 10.1038/nbt.3870. Epub 2017 Jul 17. PMID: 28714965

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