Mahlalela N, Maboa O, Govathson C, Rossouw L, Long L, Greener R, Morris S, Cooper S, Frade S, Pascoe S, Chetty-Makkan C, Acceptability, Usability, and Clinical Appropriateness of an AI-Powered Tool for Linkage to HIV Services After HIV Self-Testing in South Africa: Mixed Methods Evaluation, J Med Internet Res 2026;28:e88570 , DOI: 10.2196/88570

L. Rambally Greener, A. Jim, N. Madubela, S. Cooper, S. Malone, “Assessing the role and value of human health workers in the implementation of a digital health solution” , 2026 IAS Conference, Brazil

L. Rambally Greener, A. Jim, N. Madubela, S. Cooper, S. Malone, “Demand generation and early engagement with an AI health coach in public clinics in KwaZulu-Natal, South Africa: Insights on uptake and use.” , 2026 IAS Conference, Brazil

B.M. Segal (University of Oxford, Institute of Biomedical Engineering, UK), S. Morris, R. Mendonca, H. Bekele, Y. Richard, S. Smedinghoff, D. Rech (Audere Africa, Johannesburg SA), W. Delva, C. van Heerden (Katalitix, Cape Town, SA), A. Spyrelis (Shout it Now, Johannesburg, SA), J. Ratevosian (Duke Global Health Institute, USA), “Rethinking PrEP scale-up: targeting long-acting HIV prevention from everyday conversations” , 2026 IAS Conference, Brazil

Solomon Thulare, Paul Potsane, Cleopatra Sokhela, Ntombifikile Mtshali, “Feasibility and acceptability of a hybrid Al-human model for HIV prevention among adolescent girls and young women in South African university settings” , 2026 IAS Conference, Brazil

N. Mtshali, A. Spyrelis, D. Rech, P. Potsane, S. Smedinghoff, N. Maricich, S. Cooper, P. Isabelli, W. Delva, D. Roberts, C. van Heerden, S. Morris, N. Tata, S. Frade, A. Anafo, J. Ratevosian, “Rethinking entry and access to care: AI-enabled self-care as HIV service infrastructure” , 2026 IAS Conference, Brazil

S. Baptiste, B. Segal, J. Ratevosian, K. Gupta, H. Bekele, S. Smedinghoff, R. Mendonca, S. Morris, S. Cooper, D. Rech, A. Spyrelis, P. Potsane, “From chat to care: turning AI conversations into real-time community intelligence for HIV services” , 2026 IAS Conference, Brazil

Setswe K, Govathson C, Greener R, Pascoe S, Maughan-Brown B, Cooper S, Milford C, Musiello F, Dlamini, B Rambally-Greener L, Madubela N, Malone S, Coetzee L, Chetty-Makkan C, van Heerden A, “Co-designing Behavioural Nudges for WhatsApp Social-Network Sharing of an AI-based HIV Support Tool to Increase HIV Service Utilisation among Underserved Populations in South Africa”, 2026 IAS Conference, Brazil

H. Bekele, R. Mendonca, S. Smedinghoff, J. Alagarajah, S. Cooper, N. Maricich, D. Mbatuegwu, D. Simpson-Cupido, N. Moremi, D. Jaravani, S. Morris, A. Spyrelis, P. Potsane, J. Ratevosian, “Rising above misinformation: safety-first, quality-assured AI for HIV and SRH self-care” , 2026 IAS Conference, Brazil

Ndumiso Madubela, Letitia Rambally-Greener, Ross Greener, Caroline Govathson, Sophie Pascoe, Candice Chetty-Makkan, Shawn Malone, “High-impact digital health tools are built around the human experience, not the technology. Co-design them with users for empathy, trust, choice, and cultural resonance.” , 2026 IAS Conference, Brazil

Yohann Richard, Krishnam Gupta, David Mbatuegwu, Rouella Mendonca, “Structured Clinical Data Extraction from Multi-Turn Conversational Health AI: Architecture, Optimization, and Validation at Scale” , 2026, AI in Healthcare Conference · Stanford Faculty Club

Krishnam Gupta, David Mbatuegwu, Yohann Richard, Rouella Mendonca, “A Multi-Layered Framework for Continuous Quality Assurance of Deployed Conversational Health AI in Resource-Limited Settings.” , 2026, AI in Healthcare Conference · Stanford Faculty Club

Simamkele Bokolo, Caroline Govathson, Laura Rossouw, Sinethemba Madlala, Sasha Frade, Shawna Cooper, Sarah Morris, Sophie Pascoe, Lawrence Long, Candice Chetty-Makkan. Self-Care from Anywhere: Evaluating the usability of an AI-powered HIV toolkit among adolescent girls and young women and healthcare providers in South Africa. medRxiv 2026.04.01.26349925

(pre-print)

Sharma A, Mwamba C, Maritim P, Humphries H, Kwena Z, Pollard D, O’Malley G, Cooper S, Bemer M, Bukusi E, Lauff A, Naiken L, Madonsela T, Morton J, Rech D, Sang N, Tshazi A, van Heerden A, Winters A, Drain P, Perspectives on App-Assisted Self-Testing Using Rapid Diagnostic Tests Among Community Members, Health Care Providers, and Public Health Leaders in Kenya, South Africa, and Zambia: Qualitative Study, J Med Internet Res 2025;27:e70273, DOI: 10.2196/70273

Govathson C, Chetty-Makkan C, Greener R, Frade S, Rech D, Morris S, Richard Y, Mendonca R, Maricich N, Long L and Pascoe S (2026) Breaking barriers: harnessing artificial intelligence for a stigma-free, efficient HIV prevention assessment among adults in South Africa. Front. Digit. Health 7:1731002. doi: 10.3389/fdgth.2025.1731002

Author: Dr. Lisette Schutte, Solution Lead Epidemic Preparedness, PharmAccess, How AI and data can change the fight against Malaria in Kenya, PharmAccess, Nov 4, 2025

Naomy Onyuka, Lisette Schutte, Nathalie Houben, Alloys K’oloo, Felix Bahati, Lilyana Dayo, Tobias F. Rinke de Wit, Artificial Intelligence to Connect Private Sector Malaria Diagnosis and Case Reporting in Kisumu County, Kenya. AI In Health Africa Conference, Nov 5, 2025

Publication collection for a 4-country operational research study in Benin, Nigeria, Uganda, andCote d'Ivoire. View full collection , BMC, Springer Nature November 2025

Highlighted paper: Lindblade, K.A., Mpimbaza, A., Ngufor, C. et al. Assessing the accuracy of the recording and reporting of malaria rapid diagnostic test results in four African countries: methods and key results.Malar J24, 206 (2025). https://doi.org/10.1186/s12936-025-05459-7

Authors: JSI.org, November 2025, New Study Confirms Artificial Intelligence Boosts Malaria Diagnosis Accuracy, read the full report here

Frade S, Cooper S, Smedinghoff S, Hattery D, Ruan Y, Isabelli P, Ravi N, McLaughlin M, Metz, L, Finette B, Malaria RDT (mRDT) interpretation accuracy by frontline health workers compared to AI in Kano state, Nigeria. BMC Digit Health 3, 50 (2025). https://doi.org/10.1186/s44247-025-00190-4

Mendonca R, Smedinghoff S, Li B, Gupta K, Ruan Y, Morris S, Isabelli P, Hattery D, Ratevosian J, Mateen B. Task Specific Computer Vision Versus Large Multi-Modal Models for Diagnostic Test Interpretation – A Benchmarking Study[version 1]. VeriXiv 2025, 2:272 

(pre-print)

Amy Zheng MPH , Lawrence Long PhD, Caroline Govathson MSc, Candice Chetty-Makkan PhD, Sarah Morris BS, Dino Rech MBA, Matthew P. Fox DSc , Sophie Pascoe PhD, Designing Artificial Intelligence-Powered Health Care Assistants to Reach Vulnerable Populations: A Discrete Choice Experiment Among South African University Students.Mayo Clinic Proceedings: Digital Health, Volume 3, Issue 3, 2025, 100248, ISSN 2949-7612,https://doi.org/10.1016/j.mcpdig.2025.100248

Kiptinness, C., Naik, P., Kareithi, T., Thuo, N., Okello, P., Culquichicon, C., Rafferty, M., Abdulrashid, S., Jomo, E., Nyamasyo, N., Wood, T., Mendonca, R., Malen, R.C., Dettinger, J.C., Pintye, J., Mwangi, J., Stergachis, A., Onentia, J., Curran, K., Mugambi, M.L., Were, D., Ngure, K., Sharma, M., Ortblad, K.F. and (2025), Online delivery of oral HIV pre- and post-exposure prophylaxis: findings from the ePrEP Kenya pilot. J Int AIDS Soc., 28: e26468. https://doi.org/10.1002/jia2.26468

Jirair Ratevosian, Michael Reid, Zhao Ni, Rouella Mendonca, Robyn Eakle , Cheryl Johnson, Izukanji Sikazwe, Meshack Ndirangu, Solange Baptiste, Linda-Gail Bekker, “Reimagining HIV prevention with artificial intelligence”, 11 June, 2025, The Lancet HIV, Volume 0, Issue 0

Kim A. Lindblade, Arthur Mpimbaza2, Corine Ngufor, William Yavo, Sunday Atobatele, Ese Akpiroroh, Abibatou Konate-Toure, Idelphonse Ahogni, Nelson Ssewante, Bosco Agaba, Augustin Kpemasse, Jacques Agnon, Onyebuchi Okoro, Godwin Ntadom, Antoine Tanoh, Cyriaque Affoukou, Jimmy Opigo, Shawna Cooper, John J. Aponte, Kevin Griffith, Radina Soebiyanto, Michael Humes, “Assessing the accuracy of the recording and reporting of malaria rapid diagnostic test results in four African countries: Methods and key results”. Malar J 24, 206 (2025). https://doi.org/10.1186/s12936-025-05459-7

Authors: Ratevosian J, Dow D, Ogbuoji O, Okeke L, Yamey G, Beyrer C; Reviewer: Morris S, "Reform and Renewal: Five Recommendations for PEPFAR" Duke Global Health Institute, Policy Brief, Feb 2025

Hunt I, Parkhouse J, Rich L, Jin K, Imam M, Kim J, Posada M, Lopez M, Ugolnik Z, Soule S, Linos E, "Generative AI for Health in Low & Middle Income Countries" Center for Digital Health, Stanford, April 2025

Reid M, Otieno B, van Heerden A, Sikazwe I, Baptiste S, Mendonca R, Tasi G, Sundaram M, "Announcing the Lancet Global Health Commission on artificial intelligence (AI) and HIV: leveraging AI for equitable and sustainable impact" The Lancet Global Health, Volume 13, Issue 4, e611 - e612

Frade S, Rech D, Mendonca R, Cooper S, Morris S, Lee H, Gupta K, Sihan Li B, Ruan Y, Hattery D, Marucheck M, Isabelli P, "HealthPulse AI: Enhancing Diagnostic Trust and Accessibility in Under-Resourced Settings through AI" [version 1]. VeriXiv 2025, 2:54

(preprint)