- Programs Overview
- Admissions and Aid
- About Us
- Research
- Research Labs and Funded Projects
- Genomics Lab
- SACS Cybersecurity Research Center
- SACS X-Trust CPS Lab
- SACS Saha RESONANCE Lab
- Multimodal Environments for Twin Research and Immersive X-Systems (METRIX) Lab
- Population Health Informatics and Disparities Research Lab (PHIDL)
- Intelligent Cognitive Profiling Lab (ICP)
- Geographic Information Systems and Visualization Lab
- Data-driven Intelligence and Security for Cyber-physical Systems (DISCS) Lab
- Clinical Trials and Outcomes Innovation Lab
- SACS Cyber-AI for Sustainable Planetary Ecosystem Resilience (CASPER)
- CAP: Capacity Building for Trustworthy AI in Medical Systems (TAIMS)
- Maternal Health Informatics and Disparities (HRSA Grant UR650342)
- Collaborate with us
- Advanced Computing and Analytics Laboratory
- Student Research Opportunities
- Faculty Grant Proposals
- Research Services
- Research Labs and Funded Projects
- Resources
- Departments
Publications
Conference Abstract and Presentations
Uma Sarder, Allysceaeioun D Britt, Todd Gary, Aize Cao, “Leveraging Machine Learning to Investigate the Impact of Substance Use Disorders and Pre-Existing Health Conditions on Preeclampsia using NIH All of Us Data”, American Public Health Association (APHA), 2025. Accepted for oral presentation
Judith Dike, Aize Cao, “The Impact of Stress and Anxiety on Cardiovascular Outcomes in Thyroid Dysfunction” American Public Health Association (APHA), 2025. Accepted for Oral presentation
Sade Graves, Joyce Y. Hall, DrPH, MPH; Yvonne Bronner, PhD; Aize Cao, PhD, Examining the Impact of Socioeconomic Factors on Women’s Access to Substance Use Treatment, American Public Health Association (APHA) Annual Meeting and Expo, 2025, accepted, poster
Micaiah McDonald, Todd Gary, Joshua Jackson, Aize Cao, Exploring the Impact of Neighborhood Environment, Food Insecurity, Discrimination, and Social Support on the Mental Health Among People Who Use Marijuana, TPHA Conference, 2025, accepted for oral presentation
Uma Sarder Aize Cao, Bishnu Sarker, “Predicting ICD-10 Code from Clinical Notes using Retrieval-Augmented Generation (RAG) Framework”, Tennessee Public Health Association (TPHA), 2025. accepted for oral presentation
Sade Graves, Aize Cao, PhD, Depression and Socioeconomic Factors in Women’s Access to Substance Use Treatment, Tennessee Public Health Association (TPHA) Annual Conference, 2025. poster
Dodji Kuwonu, Aize Cao; Investigating the Relation of Economic, Social, and Environmental Factors with Children’s Mental Health, TPHA, Conference 2025. accepted for oral presentation
Judith Dike, Uma Sarder, Aize Cao, “The Association Between Graves’ Disease and Risk of Preterm Births: A Predictive Modeling Approach Using Logistic Regression and Random Forests” AMIA Clinical Informatics Conference, Anaheim, CA, May 20-23, 2025.
Uma Sarder, Aize Cao, “Leveraging NIH All of Us Data for Predictive Modeling of Preeclampsia: A Population-Based Approach to Address Maternal Health Disparities”. Dr. Clifton K. Meador 2024, Meharry-Vanderbilt Alliance, TN.
Judith Dike, Uma Sarder, Aize Cao, “Preterm Birth Prediction in Patients with Graves’ Disease: Insights from NIH All of Us Data”, 69th Meharry Annual Research Day, 2025.
Uma Sarder; Aize Cao, Bishnu Sarker, “ICD-10 Prediction Using Retrieval-Augmented Generation (RAG)”, RCMI Conference 2025.
Micaiah McDonald, Bishnu Sarker, Shawn Goodwin, Ashutosh Singhal, Aize Cao, Exploring the Impact of Social Determinants of Health on Marijuana Use: Insights from the NIH All of Us Survey Data, RCMI Consortium Conference, 2024
Uma Sarder, Lloyda B. Williamson, Bishnu Sarker, Aize Cao, “Investigating Congestive Heart Failure (CHF) among Women with Substance Use Disorders using NIH All of Us Data”, American Medical Informatics Association (AMIA), 2024.
Clarence White, Uma Sarder, Lloyda B. Williamson, Aize Cao, “Racial and Mental Health Disparities in Substance Use Disorder Patients through NIH All of Us Data”, RCMI Conference 2024.
Uma Sarder; Aize Cao, “Investigating Pregnancy Patterns and Racial Disparities: Preliminary Insights from the NIH All of Us Data”, American Public Health Association (APHA), 2024.
Uma Sarder; Aize Cao, “Association of Socioeconomic Status on Mental Health among Pregnant Women Using NIH All of Us Data” 69th Meharry Annual Research Day, 2025.
Aize Cao; Kiah Mayo; Todd Gary; Lloyda Williamson, Understanding AMA Discharges: Characteristics and Risk Factors Among Pregnant and Postpartum Women with Substance Use Disorders, AcademyHealth Annual Research Meeting, 2024
Uma Sarder; Aize Cao, Investigating Pregnancy Patterns and Racial Disparities: Preliminary Insights from the NIH All of Us Data, 2024, American Public Health Association, 2024, Submitted
Aize Cao; Kiah Mayo; Todd Gary; Lloyda Williamson, Early Onset of Substance Use in Pregnant and Postpartum Women in low-resource settings: A Call for Targeted Interventions, American Public Health Association, 2024,
Submitted
Uma Sarder, Allysceaeioun D Britt, Todd Gary, Aize Cao, “Impact of Socioeconomic Status on Maternal Mental Health (Depression and Anxiety) among Women Using NIH All of Us Data”, American Medical Informatics Association (AMIA), 2025.
In Progress
Sade Graves, Yvonne Bronner, ScD; Joyce Y. Hall, DrPH, MPH; Aize Cao, PhD, Examining the Impact of Socioeconomic Factors on Women’s Access to Substance Use Treatment, Manuscript in Preparation, 2025.
- Programs Overview
- Admissions and Aid
- About Us
- Research
- Research Labs and Funded Projects
- Genomics Lab
- SACS Cybersecurity Research Center
- SACS X-Trust CPS Lab
- SACS Saha RESONANCE Lab
- Multimodal Environments for Twin Research and Immersive X-Systems (METRIX) Lab
- Population Health Informatics and Disparities Research Lab (PHIDL)
- Intelligent Cognitive Profiling Lab (ICP)
- Geographic Information Systems and Visualization Lab
- Data-driven Intelligence and Security for Cyber-physical Systems (DISCS) Lab
- Clinical Trials and Outcomes Innovation Lab
- SACS Cyber-AI for Sustainable Planetary Ecosystem Resilience (CASPER)
- CAP: Capacity Building for Trustworthy AI in Medical Systems (TAIMS)
- Maternal Health Informatics and Disparities (HRSA Grant UR650342)
- Collaborate with us
- Advanced Computing and Analytics Laboratory
- Student Research Opportunities
- Faculty Grant Proposals
- Research Services
- Research Labs and Funded Projects
- Resources
- Departments