|Plenary Sessions|

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Real-world Big Data and Analytics

John Hsu, MD

Enhancing Institutional Data Science Capacity

Raphael D. Isokpehi, PhD

Boosting Data Analytics Through High-Fidelity Synthetic Data

Xiaotong Shen, PhD

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

Mining Large Data to Guide Policy and Improve Health Equity

Marcela Horvitz-Lennon, MD, MPH

The Impact of Deep Learning for Creating Novel Effectors of Biological Functions

Gaetano T. Montelione, PhD

|AI for Sensing & Diagnosis Core Breakout Session|

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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

Improving Healthcare Delivery with AI: A Diagnostic and Prescriptive Recommender System

Damilare Ogungbesan

|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

Barriers to Unlocking Big Data to Explore LGBTQ+ Populations in South Carolina

Jennifer T. May, PhD, RN, ANP-BC

|Electronic Health Records Breakout Section II|

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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

South Carolina Breast and Cervical Cancer Data in Action

Beth Williams

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

Big Data and Nursing Wisdom: The Key to Unlock Healthcare Innovation

Ramya Govindarajan, MSPH

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

An Algorithm for the Constrained Longest Common Subsequence and Substring Problem

Rao Li, 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

Wildfires and Mental Health

Tamara L. Sheldon, PhD

Integrating GIS into Criminal Justice Research

Hunter Boehme, PhD
Cory Schnell, 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

Identifying Disparities in the Relationship between Neighborhood Walkability and Active Transportation Crashes Within South Carolina

Anna Chupak

|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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Assisted Migration: An Ecologist gets help with NIH

Tad Dallas, PhD

Improving Uptake of LA-ARVs Among Populations Most Likely to Benefit

Caroline Derrick, PharmD, BCPS, AAHIVP

How a Biochemist Grew in Big Data Health Science Training

Jie Li, PhD

Machine-Learned Identification of Prescription Opioid Misuse and its Psychosocial and Biomedical Determinants in People Living with HIV 

Geroge Tam, PhD

Role of AI in Healthcare: My Prespective

Adelero Adebajo, MD

Community Scholar Presentation 

Ashley N. Green

Big Data and Social Work: My Journey as a C-Scholar

Carmen Hampton Julious, LISW-CP&AP

|Data Science Research & Training Opportunities across the NIH: The NIH Funders Panel|

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Data Science Funding Opportunities at NIH

Raphael D. Isokpehi, PhD

NIAID Data Science and Big Data

Rosemary G. McKaig, MPH, PhD

Data Science Research & Training Opportunities: A Vignette from the NIAID Office of Data Science

Reed Shabman, PhD

|Underrepresented Minorities in Data Science Applied to Health Career Development Luncheon|

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Welcome to the 2024 Big Health Science Center URM Luncheon

Bankole Olatosi, PhD

NIH’s Interest and Commitment to Workforce Development among Underrepresented Minority Groups

Raphael D. Isokpehi, PhD

Significance of Diversity, Equity, and Inclusion in Career Growth

Kay Thomas, EdD

Diversity in Science and STEM Matters

Julian R. Williams, JD