Select Publications
Huddart S, Yadav V, Sieberts SK, Omberg L, Raberahona M, Rakotoarivelo R, Lyimo IN, Lweno O, Christopher DJ, Nhung NV, Theron G, Worodria W, Yu CY, Bachman CM, Burkot S, Dewan P, Kulhare S, Small PM, Cattamanchi A, Jaganath D, Lapierre SG. Solicited Cough Sound Analysis for Tuberculosis Triage Testing: The CODA TB DREAM Challenge Dataset. medRxiv [Preprint]. 2024 Mar 28:2024.03.27.24304980. doi: 10.1101/2024.03.27.24304980. Update in: Sci Data. 2024 Oct 18;11(1):1149. https://doi.org/10.1101/2024.03.27.24304980
Steadman, A., Andama, A., Ball, A., Mukwatamundu, J., Khimani, K., Mochizuki, T., Asege, L., Bukirwa, A., Kato, J. B., Katumba, D., Kisakye, E., Mangeni, W., Mwebe, S., Nakaye, M., Nassuna, I., Nyawere, J., Nakaweesa, A., Cook, C., Phillips, P., … Cattamanchi, A. (2024). New Manual Quantitative Polymerase Chain Reaction Assay Validated on Tongue Swabs Collected and Processed in Uganda Shows Sensitivity That Rivals Sputum-based Molecular Tuberculosis Diagnostics. Clinical Infectious Diseases, 78(5), 1313–1320. https://doi.org/10.1093/cid/ciae041
Rees-Channer RR, Bachman CM, Grignard L, Gatton ML, Burkot S, Horning MP, Delahunt CB, Hu L, Mehanian C, Thompson CM, Woods K, Lansdell P, Shah S and Chiodini PL (2023) Evaluation of an automated microscope using machine learning for the detection of malaria in travelers returned to the UK. Front. Malar. 1:1148115. https://doi:10.3389/fmala.2023.1148115
Chang, A., Mzava, O., Djomnang, LA.K. et al. Metagenomic DNA sequencing to quantify Mycobacterium tuberculosis DNA and diagnose tuberculosis. Sci Rep 12, 16972 (2022). https://doi.org/10.1038/s41598-022-21244-x
Oulton T, Obiero J, Rodriguez I, Ssewanyana I, Dabbs RA, Bachman CM, et al. (2022) Plasmodium falciparum serology: A comparison of two protein production methods for analysis of antibody responses by protein microarray. PLoS ONE 17(8): e0273106. https://doi.org/10.1371/journal.pone.0273106
Bachman CM, Cate DM, Grant B, et al. A Novel Malaria Lateral Flow Assay for Detecting Plasmodium falciparum Lactate Dehydrogenase in Busia, Uganda. The American Journal of Tropical Medicine and Hygiene. 2022;106(3):850-852. https://doi.org/10.4269/ajtmh.21-0956
Bachman CM, Grant BD, Anderson CE, Alonzo LF, Garing S, Byrnes SA, et al. (2021) Clinical validation of an open-access SARS-COV-2 antigen detection lateral flow assay, compared to commercially available assays. PLoS ONE 16(8): e0256352. https://doi.org/10.1371/journal.pone.0256352
Otiangala, D., Agai, N.O., Olayo, B. et al. A feasibility study evaluating a reservoir storage system for continuous oxygen delivery for children with hypoxemia in Kenya. BMC Pulm Med 21, 78 (2021). https://doi.org/10.1186/s12890-021-01433-6
Das, D., Vongpromek, R., Assawariyathipat, T. et al. Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning. Malar J 21, 122 (2022). https://doi.org/10.1186/s12936-022-04146-1
Connelly JT, Andama A, Grant BD, Ball A, Mwebe S, Asege L, et al. (2021) Field evaluation of a prototype tuberculosis lipoarabinomannan lateral flow assay on HIV-positive and HIV-negative patients. PLoS ONE 16(7): e0254156. https://doi.org/10.1371/journal.pone.0254156
Wood RC, Andama A, Hermansky G, Burkot S, Asege L, Job M, et al. (2021) Characterization of oral swab samples for diagnosis of pulmonary tuberculosis. PLoS ONE 16(5): e0251422. https://doi.org/10.1371/journal.pone.0251422
Horning, M.P., Delahunt, C.B., Bachman, C.M. et al. Performance of a fully‐automated system on a WHO malaria microscopy evaluation slide set. Malar J 20, 110 (2021). https://doi.org/10.1186/s12936-021-03631-3
Mulondo, J., Maleni, S., Aanyu-Tukamuhebwa, H. et al. Efficacy and safety of oxygen-sparing nasal reservoir cannula for treatment of pediatric hypoxemic pneumonia in Uganda: a pilot randomized clinical trial. BMC Pulm Med 20, 230 (2020). https://doi.org/10.1186/s12890-020-01267-8
Torres, K., Bachman, C.M., Delahunt, C.B. et al. Automated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in Peru. Malar J 17, 339 (2018). https://doi.org/10.1186/s12936-018-2493-0
C. Mehanian et al., "Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks," 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Venice, Italy, 2017, pp. 116-125, https://doi.org/10.1109/ICCVW.2017.22