Core Mission
Cognitive impairment in HIV-infected individuals remains a significant problem despite antiretroviral therapy. Biomarker discovery coupled with demographic, clinical, psychiatric, and cognitive testing data provides a powerful approach to identify putative mechanisms for cognitive dysfunction in people living with HIV. Ultimately these biomarkers may be used to predict cognitive impairment and to monitor the effects of interventional therapies in people living with HIV.
Core Resources
Available services:
- Targeted lipid and metabolite analysis: Fully quantitative targeted analysis of most lipids and metabolites detected in untargeted approaches:
- MULTI-ARRAY immunoassay systems
- Computational Analyses
- Machine Learning
- Linear Regression
- Logistic Regression
- Decision Tree
- Naïve Bayes
- K-Nearest Neighbors
- Support Vector Machine
- K-Means
- Random Forest
- Dimensional Reduction Algorithms
- Gradient Boosting Algorithms
- PLS modeling
- Machine Learning
- Pharmacokinetic/Pharmacodynamic analysis of potential drugs and drug metabolites.
Associated Services: