View in EDS HTML Full Text PDF Full Text

Unsupervised machine learning identifies biomarkers of disease progression in post-kala-azar dermal leishmaniasis in Sudan.

Saved in:
Bibliographic Details
Title: Unsupervised machine learning identifies biomarkers of disease progression in post-kala-azar dermal leishmaniasis in Sudan.
Authors: Torres, Ana1,2,3 (AUTHOR), Younis, Brima Musa4 (AUTHOR), Tesema, Samuel5 (AUTHOR), Solana, Jose Carlos1,2 (AUTHOR) jc.solana@externos.isciii.es, Moreno, Javier1,2 (AUTHOR), Martín-Galiano, Antonio J.6 (AUTHOR) mgaliano@isciii.es, Musa, Ahmed Mudawi4 (AUTHOR), Alves, Fabiana7 (AUTHOR), Carrillo, Eugenia1,2 (AUTHOR)
Source: PLoS Neglected Tropical Diseases. 3/11/2025, Vol. 19 Issue 3, p1-19. 19p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
Description
ISSN:19352727
DOI:10.1371/journal.pntd.0012924