|Plenary Sessions|
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Real-world Big Data and Analytics
John Hsu, MD
Exploring Bias in AI & Machine Learning
Jim Box
Empowering Public Health Response: A Path Towards Harnessing the Power of Big Data Through HIE
Andrew C. Bledsoe
Novel Applications of Large Language Models in Healthcare
Ioannis Paschalidis, PhD
|AI for Sensing & Diagnosis Core Breakout Session|
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Presenter
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Expert-curated Dataset for Inference of Advanced Oncology Concepts and Relations with Large Language Models
Madhumita Sushil, PhD
Toward Defining a Taxonomy for Ostomy Nursing Care Using Natural Language Processing
LaToya McDonald
Leveraging Microbiome Big Data to Connect Gut Microbial Metabolites to Inflammatory Bowel Disease
Jie Li, PhD
|Electronic Health Records Breakout Section I|
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Assessing the Properties of Patient-Specific Treatment Effect Estimates from Causal Machine Learning Algorithms Under Essential Heterogeneity
John Brooks, PhD
Black Maternal Care: A Call to Action for Engineering, Data Science, Electronic Health Records and Justice
Fay Cobb Payton, PhD
Harmonization of Multiple HIV Related Data Sources in Sub-Saharan Africa: Lessons Learned from the Boloka Project
Refilwe Nancy Phaswana-Mafuya, MA, PGD, MSc, PhD
Disparities in Prenatal Telehealth Uptake Among Birthing Individuals in the United States, June 2018-May 2022: Data from the National COVID-19 Cohort Collaborative (N3C)
Peiyin Hung, PhD
|Electronic Health Records Breakout Section II|
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Presenter
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Postpartum Telehealth Uptake among Birthing Individuals in the United States, June 2018-May 2022: Data from the National COVID-19 Cohort Collaborative
Jiani Yu
Optimizing the Monitoring of RMNCAH+N Program Implementation in Northern Nigeria using a Data Visualization Dashboard: The Kaduna State Experience
Collins Imarhiagbe, PhD
The Impacts of “Baby-Friendly” Hospital Designations
Lindsey Woodworth
Deconstructing Multi-Institutional EHR Data: Experiences from a Pediatric Diabetes Surveillance Effort in South Carolina
Angela Liese
|Genomic Breakout Session|
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Heterogeneity of Macrophages in Staphylococcal Enterotoxin B induced Acute Respiratory Distress Syndrome
Kiesha Wilson, PhD
miRGD: miRNA-Gene-Disease Association PredictionBased on GCN
Yuhang Chen
A Robust Rarefaction Method for Evaluating Alpha Diversities in TCR Sequencing Data
Mo Li, PhD
Wastewater-Based Microbiomics Unveils Novel Insights into Population-Level Human Gut Microbial Interactions to Support Precision Public Health Strategies
Devin Bowes, PhD
Integration of Molecular and Clinical Data from Cancer Patients
Anna Blenda, PhD
|Geospatial Breakout Session|
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Disparities in Pedestrian and Cyclist Crashes by Social Vulnerability across South Carolina
Andrew T. Kaczynski, PhD
A two-pronged big data approach to critically analyze strongyloides stercoralis infectious among rural, impoverished South Carolina residents
Matthew S. Haldeman, MD MPH
Classifying Urban and Rural Gentrified Neighborhoods in the United States: A Repeated Measures Latent Profile Analysis
Parthenia Luke, PhD
|Social Media Breakout Session|
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What do Foster Parent Associations Communicate on Facebook? Analyses Using Unsupervised Machine-Learning Method
Anli Xiao, PhD
Identifying Perinatal Opioid-Related Tweet Themes on Twitter
Dezhi Wu, PhD
Association Between Immigrant Concentration and Mental Health Service Utilization in the United States Over Time: A Geospatial Big Data Analysis
Zhenlong Li, PhD
Utilizing Pre-Trained Language Models for Identifying Vaping-Related Discussions on Reddit During the EVALI Outbreak
Yang Ren
Estimating Hourly Neighborhood Population Using Mobile Phone Data
Huan Ning
Qualitative Coding of Interview Using Generative AI
Yuhao Kang, PhD
|NIH Trainee Session|
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Improving Uptake of LA-ARVs Among Populations Most Likely to Benefit
Caroline Derrick, PharmD, BCPS, AAHIVP
Machine-Learned Identification of Prescription Opioid Misuse and its Psychosocial and Biomedical Determinants in People Living with HIV
Geroge Tam, PhD
|Data Science Research & Training Opportunities across the NIH: The NIH Funders Panel|
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|Underrepresented Minorities in Data Science Applied to Health Career Development Luncheon|
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NIH’s Interest and Commitment to Workforce Development among Underrepresented Minority Groups
Raphael D. Isokpehi, PhD