The mDOT Center develops methods of identifying the ideal moments when health risks are elevated yet mitigatable. Our technologies have a significant potential to advance the fundamental understanding of health and behavior by supporting the analysis of complex, longitudinal, mHealth data.
To maximize the chances of success, mobile health intervention content is optimized to address the key drivers of current risk. The mDOT Center addresses these challenges by developing advanced reinforcement learning methods so that they can be applied to the case of mHealth interventions.
The mDOT Center resources make remote care possible for patients who have traditionally required close involvement of clinicians, marking a major transformation in care delivery. Our deliverables enable much greater personalization of mHealth interventions by expanding access to emerging biomarkers.