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1. Machine Learning Bolsters Evidence That D1, Nef, and Tat Influence HIV Reservoir Dynamics

2. Naive infection predicts reservoir diversity and is a formidable hurdle to HIV eradication

3. Longitudinal HIV sequencing reveals reservoir expression leading to decay which is obscured by clonal expansion

4. Persistence of an intact HIV reservoir in phenotypically naive T cells

5. Naive infection predicts reservoir diversity and is a formidable hurdle to HIV eradication

6. Longitudinal HIV sequencing reveals reservoir expression leading to decay which is obscured by clonal expansion

7. Persistence of an intact HIV reservoir in phenotypically naive T cells

8. Proviral sequencing suggests the majority of the HIV reservoir is expressed over time but significant decay is obscured by clonal expansion

9. Elevated basal intestinal mucosal cytokine levels in asymptomatic first-degree relatives of patients with Crohn’s disease

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