Computational-Phenotyping

Mental health phenotypes of well-controlled HIV in Uganda

Identifying and distinguishing cognitive profiles among virally suppressed people with HIV.

Biopsychosocial phenotypes in people with HIV in the CHARTER cohort

Machine learning approaches to understand cognitive phenotypes in people with HIV

Neurocognitive Profiles Among Virally Suppressed Women with HIV

Cognitive trajectory phenotypes in human immunodeficiency virus-infected patients

Machine learning interrogation of clinical and plasma markers identify prognostic models for cognitive trajectory

Computational Phenotyping Pipelines

Reusable analysis pipelines for latent structure, clustering, and subgroup discovery.