AIM-AHEAD Research Fellowship Cohort 2 Research Posters
Exploring the role of Digital Divide in contributing to health disparity through social isolation among older adults
UH Population Health, University of Houston
Ariana González-Meléndez, MD, MPH
Machine learning methods to predict cardiovascular risk in Hispanic patients with systemic lupus erythematosus
Division of Rheumatology, Department of Medicine, University of Puerto Rico Medical Sciences Campus
Advancing research methods: Incorporating intersectionality into evaluation of health care algorithms
School of Information, University of Michigan
Investigating the impact of incremental increases in physical activity on the mental health of the blind and visually impaired (BVI) in the U.S.
Howard University
Deep phenotyping methods for early detection of pain and acute chest syndrome (ACS) in individuals with sickle cell disease (SCD): Evidence from a retrospective cohort study
University of Florida, Department of Speech
MIT-UB: A multi-domain unbiased medical vision foundation model
University of Texas at Dallas
Predicting immunotherapy efficacy in lung cancer across multiple ethnic groups using machine learning
Department of Quantitative Health Sciences John A. Burns School of Medicine
Examining social and behavioral determinants in patients with long COVID-19 and their impact on health disparities
University of Tennessee at Chattanooga
Eduardo L. Tosado-Rodríguez
Harnessing machine learning to understand cervical dysplasia in diverse populations with a special focus on Hispanics
RCMI-CCRHD Program, Medical Sciences Campus, University of Puerto Rico, and School of Dental Medicine
Improving health equity in algorithmic decision-making using explainable AI: A comprehensive framework for evaluating interpretable models in clinical decision support systems
The University of Texas at Arlington
Application of ML methods in predicting diabetes-related emergency department visits in diabetic adults
American Samoa Community Cancer Coalition
Using ML/AI to explore the correlation between food desserts and health disparities in low-income communities in the United States
Bowie State University
Enhancing depression health screening for minoritized racial & ethnic communities with psychiatric comorbidities through machine learning
Department of Psychology at George Mason University
Prediction model for late-term preeclampsia in pregnant people without early pregnancy care and biomarkers
Indiana University Fairbanks School of Public Health
Investigating the role of brain connectivity and social environment in Hispanic adults with depression and anxiety: A multiomics approach
Texas A&M University College of Medicine
Predictive modeling of postpartum depression: Assessing model accuracy and racial bias
University of California, Los Angeles—Semel Institute for Neuroscience and Human Behavior
Using machine learning algorithms to determine the impact of behavioral health and social determinants of health on disparities in lung cancer screening
The University of Texas Medical Branch at Galveston
Exploring the influence of opioid misuse on demographic factors and health Conditions across diverse racial and ethnic populations using a machine learning approach
Delaware State University
Depression risk assessment using artificial intelligence/machine learning (AI/ML)
University of Hawaii at Manoa
Advancing black maternal health equity: A machine learning approach to predicting treatment adherence in perinatal and postpartum African American women
Georgia Institute of Technology
ML-driven identification of social determinants of health associated with race among patients with Alzheimer's disease and related dementias
College of Medicine, Washington State University
Prediction of dementia risk in different ethnoracial populations via data analytics and machine learning techniques
The University of New Mexico, Health Sciences Center
Environmental and socioracial determinants of stress and cardiovascular health among transgender and gender
Fashion Institute of Technology
Finding insights within regions that host or are in proximity to correctional institutions
Office of Health Services, State of Illinois; AI.Health4All Center for Health Equity Using Machine Learning, University of Illinois, College of Medicine at Chicago
Leveraging machine learning to address obesity disparities: Predictive modeling and targeted interventions using EHR data
San Diego State University
