DATA SCIENCE

Our Data Science Division is the bridge between our scientifically backed mobile health applications and population-level health solutions.

We extract significant information to assess and improve health outcomes, and provide useful and easy to interpret results for consumers/providers.

 

We focus on three primary tracks of innovation, each seeking to contribute to better population health solutions through mobile technologies.

UNDERSTANDING, OPTIMIZING,
AND SYNTHESIZING DATA

Research into sensor-based data streams for monitoring health including wearables, smartphones, and home-based sensors.

Optimization of data delivery to users/participants for better informed health decisions.

Development of secure and private data infrastructures.

Synthesis of data streams for population and cohort-based health analysis, health information, and summary statistics.

CURATING DATA LIBRARIES
AND TRAINING DATA

Development of training data sets to promote deep learning for mobile health applications.

Curating data and advising on the use of environmental data for better contextualization of health behaviors.

Generating population health data for understanding baseline risk and prevalence.

MACHINE LEARNING
AND ARTIFICIAL INTELLIGENCE (AI)

Research and development of AI for just in time intervention.

Adaptation of existing AI solutions for the classification of behaviors from wearable, smartphone, and home-based sensors.

Deployment of artificial intelligence strategies in just in time interventions through trials and interventions.