Amy C. Justice

TL;DR: A large prospective cohort from the Veterans Affairs database was used to examine whether long-term HIV suppression resulting from sustai... as discussed by the authors showed that patients with HIV infection have an excess risk for cancer.

TL;DR: Preliminary evidence is provided of the interrelationships among chronic pain, SUDs, and engagement in HIV care among older SMM living with HIV and suggest that pain management in this population might support fuller engagement inAIDS care.

TL;DR: The results show that machine learning methods like XGBoost can be adapted to use accelerated failure time (AFT) with censoring to model long-term risk of disease progression, and that an existing machine learning approach can be used for AFT outcome modeling in prostate cancer and more generally for other chronic diseases with long observation times.

TL;DR: In this paper, the authors estimated associations of smoking with mortality among treated HIV-infected patients, whose presumed transmission was not via IDU, enrolled in 8 cohorts in Europe and North America (ART Cohort Collaboration).