The Project Baseline Health Study: a step towards a broader mission to map human health
Open accessAbstract
The Project Baseline Health Study (PBHS) was launched to map human health through a comprehensive understanding of both the health of an individual and how it relates to the broader population. The study will contribute to the creation of a biomedical information system that accounts for the highly complex interplay of biological, behavioral, environmental, and social systems. The PBHS is a prospective, multicenter, longitudinal cohort study that aims to enroll thousands of participants with diverse backgrounds who are representative of the entire health spectrum. Enrolled participants will be evaluated serially using clinical, molecular, imaging, sensor, self-reported, behavioral, psychological, environmental, and other health-related measurements. An initial deeply phenotyped cohort will inform the development of a large, expanded virtual cohort. The PBHS will contribute to precision health and medicine by integrating state of the art testing, longitudinal monitoring and participant engagement, and by contributing to the development of an improved platform for data sharing and analysis.
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The Project Baseline Health Study aims to enroll at least 10,000 individuals, starting with an initial 2,500 participants from whom a broad range of multimodal data are collected, with the aim of evolving into a combined virtual-in-person research effort.
“The Project Baseline Health Study, funded by Verily and managed in collaboration with Stanford University, Duke University and the California Health and Longevity Institute, aims to enroll at least 10,000 individuals, starting with an initial 2,500 participants from whom a broad range of multimodal data are collected, with the aim of evolving into a combined virtual-in-person research effort 93 .”
From Multimodal biomedical AI (2022) · cites this paper as [93]
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“REVIEW ARTICLE OPEN The Project Baseline Health Study: a step towards a broader mission to map human health Kristine Arges1, Themistocles Assimes 2, Vikram Bajaj2, Suresh Balu 1, Mustafa R. Bashir1, Laura Beskow3, Rosalia Blanco1, Robert Califf4, Paul Campbell1, Larry Carin1, Victoria Christian1, Scott Cousins1, Milli…”
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- Authors
- Arges, K., Assimes, T., Bajaj, V., Balu, S., Bashir, M. R., Beskow, L., Blanco, R., Califf, R., Campbell, P., Carin, L., Christian, V., Cousins, S., Das, M., Dockery, M., Douglas, P. S., Dunham, A., Eckstrand, J., Fleischmann, D., Ford, E., Fraulo, E., French, J., Gambhir, S. S., Ginsburg, G. S., Green, R. C., Haddad, F., Hernandez, A., Hernandez, J., Huang, E. S., Jaffe, G., King, D., Koweek, L. H., Langlotz, C., Liao, Y. J., Mahaffey, K. W., Marcom, K., Marks, W. J., Maron, D., McCabe, R., McCall, S., McCue, R., Mega, J., Miller, D., Muhlbaier, L. H., Munshi, R., Newby, L. K., Pak-Harvey, E., Patrick-Lake, B., Pencina, M., Peterson, E. D., Rodriguez, F., Shore, S., Shah, S., Shipes, S., Sledge, G., Spielman, S., Spitler, R., Schaack, T., Swamy, G., Willemink, M. J., & Wong, C. A.
- Affiliations
- Duke University (US)
- Stanford Medicine (US)
- Vanderbilt University (US)
- Verily Life Sciences LLC (United States) (US)
- Harvard University (US)
- Google (United States) (US)
- Corresponding author
- Gambhir, Sanjiv S.
- ORCID
- Assimes, Themistocles
- Balu, Suresh
- Bashir, Mustafa R.
- Beskow, Laura
- Blanco, Rosalia
- Califf, Robert
- Cousins, Scott
- Das, Millie
- Douglas, Pamela S.
- Eckstrand, Julie
- Fleischmann, Dominik
- Gambhir, Sanjiv S.
- Ginsburg, Geoffrey S.
- Green, Robert C.
- Hernandez, Adrian
- Hernandez, John
- Huang, Erich S.
- Jaffe, Glenn
- Koweek, Lynne H.
- Langlotz, Curtis
- Liao, Yaping J.
- Mahaffey, Kenneth W.
- Marks, William J.
- Maron, David
- McCabe, Reid
- McCall, Shannon
- Mega, Jessica
- Miller, David
- Newby, L. Kristin
- Pencina, Michael
- Peterson, Eric D.
- Shah, Svati
- Sledge, George
- Spitler, Ryan
- Swamy, Geeta
- Willemink, Martin J.
- Wong, Charlene A.
- Venue
- npj Digital Medicine
- Published
- 2020-06-05
- Volume
- 3
- Issue
- 1
- Pages
- 84-84
- ISSN
- 2398-6352 (ISSN-L)
- PMC
- PMC7275087
- OpenAlex
- W3034154652
- Cited by
- 82
- References
- 38
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 22 · 2023: 13 · 2022: 15 · 2021: 9 · 2020: 1
- FWCI
- 0.82
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Digital Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Verily, Inc.
- Verily,Inc.
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Keywords
- longitudinal cohort, precision health, precision medicine, phenotyping, virtual cohort, data sharing, participant engagement, health data integration
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