ABSTRACT
Mobile and wireless health (mHealth) technologies have developed at an exponential pace in recent years; however, the integration and translation of these cutting-edge technologies into rigorously evaluated health research and healthcare tools have lagged behind. Remarkable advances have been made in the last decade, for example, in low-cost, real-time technologies to assess and/or intervene on disease, movement, images, behavior, social interactions, environmental toxins, hormones, and other physiological variables. These advances are due to increased computational sophistication, as well as reductions in size and power requirements.1 These technologies provide the potential to advance research, prevent disease, enhance diagnostics, improve treatment, reduce health disparities, increase access to health services, and lower healthcare costs in ways previously unimaginable.2
