References
These references reflect the scientific foundations, technological innovations, and collaborative efforts driving our commitment to a world free from tuberculosis and HIV — where innovation meets compassion to improve and save lives
Integration of HIV and Tuberculosis Services: Improving Patient Outcomes in Resource-Limited Settings
Getahun H, Gunneberg C, Granich R, Nunn P (2010)
Global Tuberculosis Report: The Intersection of HIV and TB Epidemics
World Health Organization (2022)
AI-Assisted Screening for TB-HIV Co-Infection
Mwansa M, Chanda-Kapata P, Smith J, et al. (2021)
Impact of Antiretroviral Therapy on Tuberculosis Incidence Among HIV-Infected Individuals
Lawn SD, Myer L, Bekker LG, Wood R (2009)
Artificial Intelligence for Early Detection of Tuberculosis in HIV-Positive Patients Using Chest Radiography
Hwang EJ, Park S, Kim H, et al. (2020)
Operational Research on Integrated TB-HIV Care in Low-Income Countries
Zachariah R, Harries AD, Manzi M, et al. (2012)
Using Machine Learning to Predict TB Treatment Outcomes Among HIV Co-Infected Patients
Kekana M, Adepoju IO, Banda M, et al. (2022)
The Role of Digital Health Technologies in Managing TB and HIV Coinfection
Chakaya J, Harries AD, Kumar AMV, et al. (2021)
Modeling the Dynamics of Tuberculosis and HIV Co-epidemics: Implications for Control Strategies
Williams BG, Granich R, De Cock KM, Glaziou P, et al. (2010)
Point-of-Care Diagnostics and AI Decision Support for TB-HIV Co-Infection Management
Ahmed R, Patel V, Singh P, et al. (2023)
