Publications

Morphology-based classification of sickle cell disease and β-thalassemia using a low-cost automated microscope and machine learning
Preprint Prakash Lab Preprint Prakash Lab

Morphology-based classification of sickle cell disease and β-thalassemia using a low-cost automated microscope and machine learning

Shrestha, P., Lohse, H., Bhatla, C., McCartney, H., Alzaki, A., Sandhu, N., ... & Stoeber, B. (2024). Morphology-based classification of sickle cell disease and β-thalassemia using a low-cost automated microscope and machine learning. medRxiv, 2024-09.

DOI: https://doi.org/10.1101/2024.09.21.24314128

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Rapid, antibiotic incubation-free determination of tuberculosis drug resistance using machine learning and Raman spectroscopy
Peer Reviewed Prakash Lab Peer Reviewed Prakash Lab

Rapid, antibiotic incubation-free determination of tuberculosis drug resistance using machine learning and Raman spectroscopy

Ogunlade, B., Tadesse, L. F., Li, H., Vu, N., Banaei, N., Barczak, A. K., ... & Dionne, J. A. (2024). Rapid, antibiotic incubation-free determination of tuberculosis drug resistance using machine learning and Raman spectroscopy. Proceedings of the National Academy of Sciences, 121(25), e2315670121.

DOI: https://doi.org/10.1073/pnas.2315670121

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MultiSero: An Open-Source Multiplex-ELISA Platform for Measuring Antibody Responses to Infection
Peer Reviewed Prakash Lab Peer Reviewed Prakash Lab

MultiSero: An Open-Source Multiplex-ELISA Platform for Measuring Antibody Responses to Infection

Byrum, J. R., Waltari, E., Janson, O., Guo, S. M., Folkesson, J., Chhun, B. B., Vinden, J., Ivanov, I. E., Forst, M. L., Li, H., Larson, A. G., Blackmon, L., Liu, Z., Wu, W., Ahyong, V., Tato, C. M., McCutcheon, K. M., Hoh, R., Kelly, J. D., Martin, J. N., Peluso, M. J. Henrich, T. J., Deeks, S. G., Prakash, M., Greenhouse, B., Mehta, S. B., Pak, J. E. (2023). MultiSero: An Open-Source Multiplex-ELISA Platform for Measuring Antibody Responses to Infection. Pathogens, 12(5), 671.

DOI: https://doi.org/10.3390/pathogens12050671

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