This study is the first initiative of Project Baseline, a broader effort designed to develop a well-defined reference, or "baseline," of good health as well as a rich data platform that may be used to better understand the transition from health to disease and identify additional risk factors for disease. Project Baseline endeavors to test and develop new tools and technologies to collect, organize, and activate health information.
Study Type
OBSERVATIONAL
Enrollment
10,000
Baseline Study
South San Francisco, California, United States
Stanford Medicine
Stanford, California, United States
California Health and Longevity Institute
Westlake Village, California, United States
Duke University School of Medicine
Durham, North Carolina, United States
Develop a set of scalable and standardized tools for acquiring, organizing, and analyzing clinical, molecular, imaging, sensor, self-reported, behavioral, environmental, and other health-related measurements
Time frame: For the duration of the study
Evaluate the use of sensor technologies for the collection of continuous, accurate health information
Time frame: For the duration of the study
Create a dataset encompassing a wide spectrum of phenotypic measures for future exploratory analysis
Time frame: For the duration of the study
Measure the phenotypic diversity observed among a participant population, defining a range of expected values for multiple types of data
Time frame: For the duration of the study
Identify biomarkers of disease-related transitions, including those related to cardiovascular disease and cancer
Time frame: For the duration of the study
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Duke University School of Medicine
Kannapolis, North Carolina, United States