Precision health initiatives aim to progressively move from traditional, group-level
approaches to health diagnostics and treatments toward ones that are individualized …

Background Decision-making and strategies to improve service delivery must be supported
by reliable health data to generate consistent evidence on health status. The data quality …

Background: Wearable activity trackers are popular devices used to motivate behavior
change. Wearable activity trackers are especially beneficial for encouraging light physical …

Background The US faces remarkable food and nutrition challenges. A new federal effort to
strengthen and coordinate nutrition research could rapidly generate the evidence base …

Health care delivery is undergoing a rapid change from traditional processes toward the use
of digital health interventions and personalized medicine. This movement has been …

This study introduces a comprehensive precision health service designed for health
promotion and prevention of chronic diseases. It involves continuous real-time monitoring of …

Objective To summarize how artificial intelligence (AI) is being applied in COVID-19
research and determine whether these AI applications integrated heterogenous data from …

Models and theories in behaviour change science are not in short supply, but they almost
exclusively pertain to a particular facet of behaviour, such as automaticity or reasoned …

The field of digital health is evolving rapidly and encompasses a wide range of complex and
changing technologies used to support individual and population health. The COVID-19 …

Single-case experimental designs (SCEDs) represent a family of research designs that use
experimental methods to study the effects of treatments on outcomes. The fundamental unit …