• DISCOVERY TO IMPACT
  • ABSTRACTS
  • POSTERS
  • AGENDA
  • RESOURCES
    • REGISTER

    Scientific Session Abstracts

    Explore abstracts selected through the All of Us Science Day call for abstracts, showcasing research using All of Us data. These will be presented during sessions throughout Science Day on Wednesday, April 15, 2026.

    Vote for the People’s Choice Awards

    The People’s Choice Award is voted on by you, the attendee! View the abstracts below and cast your vote by 3:00 p.m. ET / 8:00 p.m. BST.
    VOTE
    Cardiovascular Health DNA & Genomics

    Session 2A: How Our DNA Shapes Health Across All Communities

    11:45 - 12:30 p.m. EDT
    Abhiram Dinesh Kumar Bindhu Mol, MSc
    The hidden genetic links between heart, kidney, and diabetic health
    Abhiram Dinesh Kumar Bindhu Mol, MSc
    Queensland University of Technology
    VIEW
    Alexandra Miller, BS
    Phenome-wide association of APOL1 risk alleles in the All of Us research program
    Alexandra Miller, BS
    University of Arizona
    VIEW
    Adriana Visbal, PhD
    Computational Reclassification of BRCA1/2 Variants of Uncertain Significance in Americas Ancestry Populations Using the NIH All of Us Research Program
    Adriana Visbal, PhD
    University of Houston-Downtown
    VIEW
    Wearables Environment

    Session 2B: How Lifestyle Behaviors Shape Health

    11:45 - 12:30 p.m. EDT
    Neil Zheng, MD
    Daily Steps Offset Risks of Sedentary Behavior for Cardiometabolic Diseases: Insights from the All of Us Research Program
    Neil Zheng, MD
    Brigham and Women's Hospital
    VIEW
    Melis Sahinoz, MD
    From Wrist to Risk: Advancing Cardiovascular Prediction Using Wearable Devices
    Melis Sahinoz, MD
    Vanderbilt University Medical Center
    VIEW
    Nandini Raghuraman, MS, PhD
    Identifying Chronic Pain Phenotypes Through Socioeconomic, Sleep, and Psychological Patterns Using Unsupervised Machine Learning in the All of Us Research Program
    Nandini Raghuraman, MS, PhD
    University of Maryland Baltimore
    VIEW
    Prevention & Healthy Living AI, Innovation

    Session 5A: How Life Circumstances Shape Health

    02:15 - 03:00 p.m. EDT
    Eric Kim, MS
    Evaluating multilevel stress exposure in predicting Lung Cancer Risk: A Machine Learning Approach
    Eric Kim, MS
    University of Illinois, Chicago
    VIEW
    Brian Anderson, DC, MPH, PhD
    Who Receives Low-Value Spine Care? A Cross-Sectional Study Using All of Us Data
    Brian Anderson, DC, MPH, PhD
    University of Pittsburgh
    VIEW
    Youwen Liu, MS
    Relationship between prescriptions for controlled substances and opioid use disorder
    Youwen Liu, MS
    Yale University
    VIEW
    Brain Health

    Session 5B: Brain Health, Mental Well-Being, and Recovery

    02:15 - 03:00 p.m. EDT
    Nari Yoo, LSW, PhD
    Mental Health Prevalence and Treatment Utilization Among Asian American Subgroups: Findings from the All of Us Research Program
    Nari Yoo, LSW, PhD
    University of Michigan
    VIEW
    Lung Fu, BS
    Atopic Dermatitis Is Associated with New Diagnosis of Depression: A Propensity-Matched Cohort Study Using the All of Us Database
    Lung Fu, BS
    SUNY Downstate Health Sciences University
    VIEW
    Cardiovascular Health DNA & Genomics Prevention & Healthy Living

    Session 7A: Understanding Heart Health, Diabetes, and Other Long-Term Conditions

    03:45 - 04:30 p.m. EDT
    Nicholas Panyanouvong, BS, MS
    The Association of the Steatosis-Associated Fibrosis Estimator (SAFE) Score with Severe Liver Outcomes within the All of Us Research Program
    Nicholas Panyanouvong, BS, MS
    Johns Hopkins School of Medicine
    VIEW
    James R. Hilser, PhD, MPH
    Gene-Environment Interaction Between the TRIP4 Locus and Air Pollution Exposure Increases Risk of Coronary Artery Disease
    James R. Hilser, PhD, MPH
    University of California, Los Angeles
    VIEW
    Sade Graves, MS
    Investigating Heart Failure Risk Prediction in Dialysis Patients
    Sade Graves, MS
    Meharry Medical College
    VIEW
    DNA & Genomics AI, Innovation

    Session 7B: How Researchers are Using Data and Technology to Drive Better Health

    03:45 - 04:30 p.m. EDT
    Pamela Djan, MS
    Exploring the Association between Smoking Status and Tumor Mutation Patterns in Lung Cancer: Analysis from the in NIH All of Us Program
    Pamela Djan, MS
    Meharry Medical College
    VIEW
    Satoshi Yoshiji, MD, PhD
    Genome-wide polygenic associations of latent mechanisms in type 2 diabetes inform pathophysiology, cellular programs, and distinct clinical risks
    Satoshi Yoshiji, MD, PhD
    Broad Institute/McGill University
    VIEW
    Sarvenaz Ghaedi, MS
    Machine Learning Classification of Irritable Bowel Syndrome Comorbidity in Major Depressive Disorder Using Chromosomal-Scale Genomic Features
    Sarvenaz Ghaedi, MS
    University of California Irvine
    VIEW
    Abstracts