Population-Level Raman Biochemical Staging of Malaria in Human Red Blood Cells Using Interpretable Machine Learning
- DOI
- 10.1021/acs.nanolett.6c00910
- Published
- 2026-06-01
- Container
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.nanolett.6c00910,
title = {Population-Level
Raman Biochemical Staging of Malaria
in Human Red Blood Cells Using Interpretable Machine Learning},
author = {Lintong Wu and Anoushka Gupta and Abhai K. Tripathi and Ishan Barman},
year = {2026},
journal = {Nano Letters},
doi = {10.1021/acs.nanolett.6c00910},
url = {https://doi.org/10.1021/acs.nanolett.6c00910}
}RIS
TY - JOUR TI - Population-Level Raman Biochemical Staging of Malaria in Human Red Blood Cells Using Interpretable Machine Learning AU - Lintong Wu AU - Anoushka Gupta AU - Abhai K. Tripathi AU - Ishan Barman PY - 2026 JO - Nano Letters DO - 10.1021/acs.nanolett.6c00910 UR - https://doi.org/10.1021/acs.nanolett.6c00910 ER -
APA
Wu, L., Gupta, A., Tripathi, A. K., & Barman, I. (2026). Population-Level Raman Biochemical Staging of Malaria in Human Red Blood Cells Using Interpretable Machine Learning. Nano Letters. https://doi.org/10.1021/acs.nanolett.6c00910
Source records
- crossref · retrieved 2026-09-27T05:40:44.365Z