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

J. Pienaar, R. Rawlinson, V. Ncube, M. Chabane, D. Rech, S. Cooper, “PrEP at your doorstep: Revolutionizing HIV prevention for MSM and TGW with courier delivery and a mobile app for seamless access to priority medication”, 2024 IAS Conference, Munich Germany

Skjefte M, Cooper S, Poyer S, Lourenço C, Smedinghoff S, Keller B, Wambua T, Odour C, Frade S, Waweru W, "Use of a health worker-targeted smartphone app to support quality malaria RDT implementation in Busia County, Kenya: A feasibility and acceptability study", PLoS ONE 19(3): e0295049. https://doi.org/10.1371/journal.pone.0295049

Roche Stephanie D. , Ekwunife Obinna I. , Mendonca Rouella , Kwach Benn , Omollo Victor , Zhang Shengruo , Ongwen Patricia , Hattery David , Smedinghoff Sam , Morris Sarah , Were Daniel , Rech Dino , Bukusi Elizabeth A. , Ortblad Katrina F., "Measuring the performance of computer vision artificial intelligence to interpret images of HIV self-testing result", 2024, Frontiers in Public Health, Vol 12, 1334881

Noella Umulisa, Eliab Mwiseneza, Natalie Maricich, Shawna Cooper, Jean Damascene Niyonzima, Michee Kabera, Aimable Mbituyumuremyi, Gladys Tetteh, "Digitally-Enhanced Rapid Malaria Testing Using Artificial Intelligence (AI) to Support Quality Control with Community Health Workers in Rwanda", 2023 ASTMH Conference, Chicago, IL, USA, 2023 Poster Session 6809.

Sasha Frade, Shawna Cooper, Sam Smedinghoff, David Hattery, Yongshao Ruan, Paul Isabelli, Ravi Nirmal, Megan McLaughlin, Lynn Metz, Barry Finette, "Malaria RDT interpretation accuracy of health workers compared to artificial intelligence (AI) and Panel Read in Kano State, Nigeria", 2023 ASTMH Conference, Chicago, IL, USA, 2023 Poster Session 5378.

Malia Skjefte, Shawna Cooper, Stephen Poyer, Christopher Lourenço, Sam Smedinghoff, Brett Keller, Tonny Wambua, Christine Oduor,Sasha Frade, Wycliffe Waweru, "User Perceptions of a Smartphone-based Malaria Rapid Diagnostic Test (RDT) aid for Community and Private Clinic-based Health Workers in Western Kenya.", 2023 ASTMH Conference, Chicago, IL, USA, 2023 Poster Session 5370.

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 HIV risk assessment and reporting of results", 2023 Bill & Melinda Gates Foundation Grand Challenges Meeting, Dakar, Senegal, INV-062692.

Krishnam Gupta, Yongshao Ruan, Ahmed Ibrahim, Rouella Mendonca, Shawna Cooper, Sarah Morris, and David Hattery, "Transforming Rapid Diagnostic Tests into Trusted Diagnostic Tools in LMIC using AI", 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 306-308, doi: 10.1109/CAI54212.2023.00136.

Presentation

O. Ekwunife, S. Roche, R. Mendonca, B. Kwach, P. Ongwen, S. Zhang5, D. Hattery, S. Smedinghoff, S. Morris, V. Omollo, D. Were, D. Rech, E. Bukusi, K. Ortblad “Measuring the performance of artificial intelligence to interpret images of HIV self-testing results”, International Aids Society, IAS 2023, Abstract 2116.

Presentation

Scott L, Noble L , Byun H, Gust D, Peloakgosi K, Dixon C, Isherwood L, Stevens W, “Analytical and Usability Evaluation of SARS-CoV-2 Antigen Rapid Diagnostic Test Readers for Improved Quality in South Africa”, Interest 2023, Abstract 648

Kiptinness Catherine, Naik Paulami, Thuo Nicholas, Malen Rachel C., Dettinger Julia C., Pintye Jillian, Rafferty Maeve, Jomo Edwin, Nyamasyo Nicky, Wood Tony, Isabelli Paul, Morris Sarah, Hattery David, Stergachis Andy, Were Daniel, Sharma Monisha, Ngure Kenneth, Mugambi Melissa Latigo, Ortblad Katrina F., “Online HIV prophylaxis delivery: Protocol for the ePrEP Kenya pilot study”, 2023, Frontiers in Public Health, 11, 1054559.

Jack Henry Kotnik, Shawna Cooper, Sam Smedinghoff, Piyusha Gade, Kelly Scherer, Mitchell Maier, Jessie Juusola, Ernesto Ramirez, Pejman Naraghi-Arani, Victoria Lyon, Barry Lutzu, Matthew Thompson, “Flu@home: the Comparative Accuracy of an At-Home Influenza Rapid Diagnostic Test Using a Prepositioned Test Kit, Mobile App, Mail-in Reference Sample, and Symptom-Based Testing Trigger”, 2022, Journal of Clinical Microbiology, Vol.60, No.3

Monica L. Zigman Suchsland, Ivan Rahmatullah, Barry Lutz, Victoria Lyon, Shichu Huang, Enos Kline, Chelsey Graham, Shawna Cooper, Philip Su, Sam Smedinghoff, Helen Y. Chu, Kara Sewalk, John S. Brownstein & Matthew J. Thompson on behalf of Seattle Flu Study investigators, “Evaluating an app-guided self-test for influenza: lessons learned for improving the feasibility of study designs to evaluate self-tests for respiratory viruses”, BMC Infect Dis 21, 617 (2021). https://doi.org/10.1186/s12879-021-06314-1

Leah R. Padgett, Lauren A. Kennington, Charlotte L. Ahls, Delini K. Samarasinghe, Yuan-Po Tu, Michelle L. Wallander, Shawna D. Cooper, James S. Elliott, Douglas Rains, “Polyester nasal swabs collected in a dry tube are a robust and inexpensive, minimal self-collection kit for SARS-CoV-2 testing”, 2021, PLOS ONE

Victoria Lyon, Monica Zigman Suchsland, Monique Chilver, Nigel Stocks, Barry Lutz, Philip Su, Shawna Cooper, Chunjong Park, Libby Rose Lavitt, Alex Mariakakis, Shwetak Patel, Chelsey Graham, Mark Rieder, Cynthia LeRouge, Matthew Thompson, “Diagnostic accuracy of an app-guided, self-administered test for influenza among individuals presenting to general practice with influenza-like illness: study protocol”, BMJ Open 2020;10:e036298. doi: 10.1136/bmjopen-2019-036298

Yuan-Po Tu, Brian Hart, Gerard A. Cangelosi, Rachel Jennings, Kevin Wehber, Prateek Verma, Deneen Vojta, Ethan M. Berke, “Swabs Collected by Patients or Health Care Workers for SARS-CoV-2 Testing”, N Engl J Med 2020; 383:494-496, DOI: 10.1056/NEJMc2016321

Jonathan Altamirano, Prasanthi Govindarajan, Andra L. Blomkalns, Lauren E. Kushner, Bryan Andrew Stevens, Benjamin A. Pinsky, Yvonne Maldonado, “Assessment of Sensitivity and Specificity of Patient-Collected Lower Nasal Specimens for Severe Acute Respiratory Syndrome Coronavirus 2 Testing”, JAMA Netw Open. 2020;3(6):e2012005. doi:10.1001/jamanetworkopen.2020.12005

YP Tu, R Jennings, B Hart, GA Cangelosi, RC Wood, K Wehber, P Verma, D Vojta, EM Berke, “Patient-collected tongue, nasal, and mid-turbinate swabs for SARS-CoV-2 yield equivalent sensitivity to health care worker collected nasopharyngeal swabs”, medRxiv 2020.04.01.20050005; doi: https://doi.org/10.1101/2020.04.01.20050005