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11/10/2024 |
8:30 AM – 12:00 PM |
Franciscan B
W27: Advancing Biomedical Research Using Multi-omics Data in the All of Us Researcher Workbench
Presentation Type: Workshop/Tutorial
Advancing Biomedical Research Using Multi-omics Data in the All of Us Researcher Workbench
Presentation Time: 08:30 AM - 12:00 PM
Abstract Keywords: Bioinformatics, Machine Learning, Information Visualization
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics
This collaborative, three-hour workshop invites participation from researchers interested in exploring different research use cases on the All of Us Research Program Researcher Workbench. This session will cover five applications of biomedical informatics research using the All of Us database and platform. Together, these use cases demonstrate how researchers can leverage electronic health record, survey, and wearable data and explore novel research approaches by: (1) integrating social determinants of health data to train a machine learning model for predicting health status, (2) adding self-reported surveys to facilitate risk calculations scores, (3) combining fitbit data to evaluate chronic disease risk, (4) characterizing the landscape of U.S.-based clinical trial eligibility, and (5) visualizing results using R Shiny. Registration for the All of Us Researcher Workbench is not required for full participation.
The All of Us Research Program is a national effort to build one of the largest and most diverse biorepositories in the world. Funded by the National Institutes of Health, the program aims to enroll more than a million research participants from across the United States over a ten-year period. Access to the program’s biorepository is made available through the All of Us Researcher Workbench, a secure, cloud-based platform, that researchers can use to analyze data from >413,450 participants (as of March 2024) and that includes electronic health records, self-reported surveys, physical measurements, wearable devices, whole genome sequencing samples, and genotyping arrays. For a full description of participant demographics and conditions, please visit our public website (researchallofus.org).
Speaker(s):
Lina Sulieman, PhD
Vanderbilt University Medical Center
Cathy Shyr, PhD
Vanderbilt University Medical Center
Author(s):
Lina Sulieman, PhD - Vanderbilt University Medical Center; Cathy Shyr, PhD - Vanderbilt University Medical Center; Robert Carroll, PhD - Vanderbilt University Medical Center; Danielle Wilfong - Vanderbilt University; Paul Harris, PhD - Vanderbilt University; Melissa Basford, MBA - Vanderbilt University Medical Center;
Presentation Time: 08:30 AM - 12:00 PM
Abstract Keywords: Bioinformatics, Machine Learning, Information Visualization
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics
This collaborative, three-hour workshop invites participation from researchers interested in exploring different research use cases on the All of Us Research Program Researcher Workbench. This session will cover five applications of biomedical informatics research using the All of Us database and platform. Together, these use cases demonstrate how researchers can leverage electronic health record, survey, and wearable data and explore novel research approaches by: (1) integrating social determinants of health data to train a machine learning model for predicting health status, (2) adding self-reported surveys to facilitate risk calculations scores, (3) combining fitbit data to evaluate chronic disease risk, (4) characterizing the landscape of U.S.-based clinical trial eligibility, and (5) visualizing results using R Shiny. Registration for the All of Us Researcher Workbench is not required for full participation.
The All of Us Research Program is a national effort to build one of the largest and most diverse biorepositories in the world. Funded by the National Institutes of Health, the program aims to enroll more than a million research participants from across the United States over a ten-year period. Access to the program’s biorepository is made available through the All of Us Researcher Workbench, a secure, cloud-based platform, that researchers can use to analyze data from >413,450 participants (as of March 2024) and that includes electronic health records, self-reported surveys, physical measurements, wearable devices, whole genome sequencing samples, and genotyping arrays. For a full description of participant demographics and conditions, please visit our public website (researchallofus.org).
Speaker(s):
Lina Sulieman, PhD
Vanderbilt University Medical Center
Cathy Shyr, PhD
Vanderbilt University Medical Center
Author(s):
Lina Sulieman, PhD - Vanderbilt University Medical Center; Cathy Shyr, PhD - Vanderbilt University Medical Center; Robert Carroll, PhD - Vanderbilt University Medical Center; Danielle Wilfong - Vanderbilt University; Paul Harris, PhD - Vanderbilt University; Melissa Basford, MBA - Vanderbilt University Medical Center;