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Principal Investigator: Santosh Kumar
Organization: UNIVERSITY OF MEMPHIS
Fiscal Year: 2024
Award: $1,132,670
Funding agency: National Institute of Biomedical Imaging and Bioengineering
Primary Investigator: Kumar, Santosh
mHealth Center for Discovery, Optimization & Translation
of Temporally-Precise Interventions (mDOT) – Overall
Abstract: Providing care for patients with chronic diseases is one of the biggest drivers of the nation’s rising
healthcare spending. Many of these diseases are inextricably linked to mutable health behaviors such as poor
diet, lack of physical activity, and smoking. A key strategy for making self-care and preventive health behaviors
more achievable has been the integration of passive monitoring into everyday life via mobile sensors and
providing personalized information and guidance to patients. But, to have the maximum long-term efficacy, such
mHealth interventions must be delivered at the most opportune moment and its content must be dynamically
personalized to the individual, their current context, and changing preferences.
Our proposed mHealth Center for Discovery, Optimization & Translation of Temporally-Precise Interventions
(the mDOT Center) will provide the methods, tools, and infrastructure for researchers to discover, optimize and
deploy temporally-precise mHealth interventions. Organized around three Technology Research & Development
(TR&D) projects, mDOT represents a unique national resource that will develop multiple methodological and
technological innovations, including easily deployable wearables, apps for wearables and smartphones, and a
companion mHealth cloud system, all open-source. TR&D1 will develop, evaluate and disseminate methods to
analyze population-scale multi-modal time series of mHealth biomarkers to identify the momentary risk factors
and risk dynamics that drive adverse health outcomes, while accounting for the uncertainty and missingness
inherent in these data sources. TR&D2 will develop new reinforcement learning methods to personalize the
selection and delivery of mHealth interventions to individuals at their own optimal times and locations so as to
maintain user engagement and provide precise and maximal health benefits. TR&D3 will develop, validate and
disseminate algorithms, tools and software/hardware designs that will enable large-scale deployment of
resource-efficient, real-time, low-latency and privacy-aware digital biomarkers. Together, these mDOT
deliverables will transform the ability of researchers and innovators to exploit the exploding range of sensors and
mobile technologies to develop and deliver dynamically personalized and temporally-precise mHealth
interventions to individuals. The iterative “push-pull” interaction with collaborative projects (CP) and direct
dissemination to service projects (SP’s) will ensure that the technologies developed by our TR&Ds’ solve real-
world problems, are usable by other researchers, and will have the broadest impact.
The mDOT Center’s training and dissemination (T&D) activities will seek to maximize the societal impact of our
technologies by promoting broad distribution and uptake of mDOT technologies and resulting software beyond
mDOT affiliates. Finally, a unifying mDOT administrative core and optimized operating procedures will facilitate
interactions among TR&D researchers and their associated CPs and SPs; assess the productivity and impact of
Center activities; and provide ongoing management, oversight, and planning.
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