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There is much hype surrounding how we can generate data on our devices that can track diseases. Most of the time such efforts are used to help clinicians gain objective information to place a patient into the existing bins around which clinical evidence suggests the appropriate treatment regimens. It would be nice if we could make individual assessments for proximal actions from intra-individual fluctuations and not aggregate them to the “mean.” It would be nice to find adjacent individuals whose trajectories in health/disease could inform ours. It would be nice if we could learn how to nurture individuals sharing their data and insights. It would be helpful if we could provide ways for people to assimilate and act on their individual assessments. This lecture will review some early attempts to frame the work needed to answer some of these unknowns.
