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1. Evolution of HIV-1 envelope towards reduced neutralization sensitivity, as demonstrated by contemporary HIV-1 subtype B from the United States.

2. High frequency of potential phosphodiesterase type 5 inhibitor drug interactions in males with HIV infection and erectile dysfunction.

3. CD4 rate of increase is preferred to CD4 threshold for predicting outcomes among virologically suppressed HIV-infected adults on antiretroviral therapy.

4. Health-related quality of life among military HIV patients on antiretroviral therapy.

5. The Association between Sexually Transmitted Infections, Length of Service and Other Demographic Factors in the U.S. Military.

6. MRSA Infections in HIV-Infected People Are Associated with Decreased MRSA-Specific Th1 Immunity.

7. D-Dimer Levels before HIV Seroconversion Remain Elevated Even after Viral Suppression and Are Associated with an Increased Risk of Non-AIDS Events.

8. Hepatitis B Vaccine Responsiveness and Clinical Outcomes in HIV Controllers.

9. Combining Epidemiologic and Biostatistical Tools to Enhance Variable Selection in HIV Cohort Analyses.

10. A Comparison of HAART Outcomes between the US Military HIV Natural History Study (NHS) and HIV Atlanta Veterans Affairs Cohort Study (HAVACS)

11. Identification of an Abbreviated Test Battery for Detection of HIV-Associated Neurocognitive Impairment in an Early-Managed HIV-Infected Cohort.

12. Hepatitis B Vaccine Antibody Response and the Risk of Clinical AIDS or Death.

13. Increasing Rates of Obesity among HIV-Infected Persons during the HIV Epidemic.

14. The Effect of Human Immunodeficiency Virus on Hepatitis B Virus Serologic Status in Co-Infected Adults.

15. Role of CCL3L1-CCR5 Genotypes in the Epidemic Spread of HIV-1 and Evaluation of Vaccine Efficacy.

16. HIV-1 Disease-Influencing Effects Associated with ZNRD1, HCP5 and HLA-C Alleles Are Attributable Mainly to Either HLA-A10 or HLA-B*57 Alleles.

17. CCL3L1-CCR5 Genotype Improves the Assessment of AIDS Risk in HIV-1-Infected Individuals.

18. SARS-CoV-2 infection is associated with self-reported post-acute neuropsychological symptoms within six months of follow-up.

19. A machine learning approach identifies distinct early-symptom cluster phenotypes which correlate with hospitalization, failure to return to activities, and prolonged COVID-19 symptoms.

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