Projects

Neuroimaging of People Living with Human Immunodeficiency Virus (HIV) and Substance Use Disorder (SUD)

We have acquired resting state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) of people living with HIV but not SUD, people who have SUD but not HIV, and comorbid populations. Data analyses will emphasize limbic structures (e.g., amygdala, hippocampus, nucleus accumbens, etc.) given their roles in addiction and socialization.

Understanding High Risk Behavior Using Artificial Intelligence/Machine Learning: Substance Use Disorder, Human Immunodeficiency Virus, and their Co-Morbidities

We have acquired genomic and social determinants of health data from people living with HIV but not SUD, people who have SUD but not HIV, and comorbid populations. Data analyses will employ LASSO-CV and Consensus Feature Elimination machine learning algorithms to predict who is more likely to have HIV, SUD, or both.

Amalgamating Genomic, Demographic, and Neuroimaging Data to Enhance the Prediction of Substance Use Disorder and Human Immunodeficiency Virus Prevalence in a Population

We aim to enhance the predictive power of our AI/ML-based analyses by integrating neuroimaging data extracted from people living with HIV, people who have SUD, and comorbid populations with their corresponding genomic and social determinants of health data. AI/ML algorithms will be selected based on their ability to optimize predictive power.