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, Sprinter 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

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

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)

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)

Peabody, Roger, “Artificial intelligence powers HIV testing services in Kenya”, The Lancet HIV, Volume 12, Issue 2, e92 - e93

Cooper S, Frade S, Smedinghoff S, Ibrahim A, Mendonca R, Hattery D, Mpimbaza A, Ssewante N, Ngufor C, Ahogni I, Yavo W, Abibatou K, Orya E, Akpiroroh E, Lindblade K, Humes M, Griffith K, “Digital Insights Into Malaria Testing: Analyzing RDT Challenges in Four African Nations”, 2024 ASTMH Conference, New Orleans, LA, USA

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" [version 1]. VeriXiv 2024, 1:3

(preprint)

Rouella Mendonca, Dino Rech, Sasha Frade, Sarah Morris, Sam Smedinghoff, Ahmed Ibrahim, David Hattery, Katrina F. Ortblad, Daniel Were, Salima Saidi, Samira Abdulrashid, “Improving Confidence and Trust in Private-Sector Telemedicine for HIV PrEP/PEP Delivery with AI”, 2024 IAS Conference, Munich Germany

Beth Balderston, Davina Canagasabey, Ashley Jackson, Samuel Kibonge, and Dr. Christopher Obong'o of PATH, MYDAWA, Jhpiego, Audere, University of Washington, Fred Hutchinson Cancer Center, Kenya Medical Research Institute, Jomo Kenyatta University of Agriculture and Technology, “Online Pharmacy PrEP and PEP: Technical considerations and learnings from Kenya”, PATH Online Publication

Govathson C, Long L, Rech D, Morris S, Chetty-Makkan C, Li B, Maricich N, Liang R, Simpson-Cupido D, Richard Y, Greener R, Pascoe SJS, “Your Choice - Using artificial intelligence (AI) to reduce stigma & improve precision in assessing HIV vulnerability to improve & tailor care”, 2024 IAS Conference, Munich Germany