Papers & Publications
Assessing the role and value of human health workersin the implementation of a digital health solution
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
Demand generation and early engagement with an AI health coach in public clinics in KwaZulu-Natal, South Africa: Insights on uptake and use
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
Rethinking PrEP scale-up: targeting long-acting HIV prevention from everyday conversations
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
Feasibility and acceptability of a hybrid AI-human model for HIV prevention among adolescent girls and young women in South African university settings
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
Rethinking entry and access to care: AI-enabled self-care as HIV service infrastructure
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
From chat to care: turning AI conversations into real-time community intelligence for HIV services
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
Co-designing Behavioural Nudges for WhatsApp Social-Network Sharing of an AI-based HIVSupport Tool to Increase HIV Service Utilisation among Underserved Populations in South Africa
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
Rising above misinformation:safety-first, quality-assured AI for HIV and SRH self-care
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
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.
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
Structured Clinical Data Extraction from Multi-Turn Conversational Health AI:Architecture, Optimization, and Validation at Scale
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
A Multi-Layered Framework for Continuous Quality Assurance ofDeployed Conversational Health AI in Resource-Limited Settings
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
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
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)
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
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
Breaking barriers: harnessing artificial intelligence for a stigma-free, efficient HIV prevention assessment among adults in South Africa
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
How AI and data can change the fight against Malaria in Kenya
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
Artificial Intelligence to Connect Private Sector Malaria Diagnosis and Case Reporting in Kisumu County, Kenya
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
Assessing accuracy and performance: of recording mRDT results, result stability over time, and AI RDT reading, a collection of publications from a 4-country study in Africa
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
Malaria RDT (mRDT) interpretation accuracy by frontline health workers compared to AI in Kano state, Nigeria
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
Artificial intelligence (AI)-driven rapid diagnostic test interpretation in a Connected Diagnostics (ConnDx) system for dynamic malaria surveillance
Bahati, F., Owuor, K., Milimo, E., Onyuka, N., K’Oloo, A., Koyuncu, C., Gomez, P., Maricich, N., Frade, S., Smedinghoff, S., Schutte, L., Houben, N., Owino, W., Dayoo, L., Ganda, G., Kariuki, S., Reboud, J., Cooper, J., de Wit, T. Artificial intelligence (AI)-driven rapid diagnostic test interpretation in a Connected Diagnostics (ConnDx) system for dynamic malaria surveillance. BMC Digit Health 3, 62 (2025). https://doi.org/10.1186/s44247-025-00197-x