Study Guides

 

Northwestern University

This study evaluates the feasibility of a just-in-time intervention to delay or prevent smoking relapse in smokers attempting to quit.

Study Coordinator Guide

Participant Guide

 

Rice University

This study examines smoking cessation in a population of African American smokers who are attempting to quit.

Study Coordinator Guide

Participant Guide

 

University of Vermont

This study examines the multiple neurocognitive processes that have previously been implicated in relapse among smokers who are both successful and unsuccessful in maintaining smoking abstinence.

Study Coordinator Guide

Participant Guide

 

University of Minnesota

This study utilizes wearable sensors to objectively assess everyday job performance for employers.

Study Coordinator Guide

Participant Guide

 

The Ohio State University

This study is designed to evaluate the efficacy of the novel EasySense wireless, contactless system in assessing pulmonary congestion via measurements of thoracic impedance and cardiac and lung motion in patients with congestive heart failure (CHF) during hospitalization and post-discharge.

Study Coordinator Guide

 

Moffitt Cancer Center

This feasibility study examines the effects of delivering mindfulness strategies via smartphones on key mechanisms underlying smoking cessation among low socioeconomic status, racially/ethnically diverse smokers.

Study Coordinator Guide

Participant Guide

 

University of Utah

This study examines the influence of socioeconomic status, social history, contextual and environmental influences, biobehavioral/psychosocial predispositions, and acute momentary precipitants on stress, smoking lapse, and abstinence among 300 smokers attempting to quit.

Study Coordinator Guide

Participant Guide

 

UCLA

This study develops the Remote Oral Behaviors Assessment System (ROBAS) by integrating a multimodal sensing platform (smart toothbrush and wrist sensors) with the mCerebrum software platform (physiological and EMA data logging, transmission, and activity/behavior inference system) for the testing and iterative refinement via laboratory simulators and test subjects.

Study Coordiniator Guide

Participant Guide

 

Johns Hopkins University

This study is designed to extend previous work in the development of methods to automatically detect the timing of cocaine use from cardiac interbeat interval and physical activity data derived from wearable, unobtrusive mobile sensor technologies.

Study Coordinator Guide

 

 

 

Copyright © 2018 MD2K. MD2K is supported by the National Institutes of Health Big Data to Knowledge Initiative (Grant #1U54EB020404)
Team: Cornell Tech, GA Tech, Harvard, U. Memphis, Northwestern, Ohio State, UCLA, UCSD, UCSF, UMass, U. Michigan, U. Utah, WVU