Machine learning for artemisinin resistance in malaria treatment across in vivo-in vitro platforms

Drug resistance has been rapidly evolving with regard to the first-line malaria treatment, artemisinin-based combination therapies. It has been an open question whether predictive models for this drug resistance status can be generalized across in vivo-in vitro transcriptomic measurements. In this s...

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Detalles Bibliográficos
Autores principales: Zhang, Hanrui, Guo, Jiantao, Li, Hongyang, Guan, Yuanfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873607/
https://www.ncbi.nlm.nih.gov/pubmed/35243261
http://dx.doi.org/10.1016/j.isci.2022.103910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873607/
https://www.ncbi.nlm.nih.gov/pubmed/35243261
http://dx.doi.org/10.1016/j.isci.2022.103910

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