M. R. Venturim Cosate

This paper develops a machine learning framework to classify Leptospira serogroups using genomic data, achieving high accuracy and offering a scalable alternative to traditional serological methods.

The paper uses phylogenetic analysis of rfb locus genes from Leptospira serogroups to study evolutionary dynamics and lateral gene transfer events.

The paper identifies genetic patterns in the rfb locus of Leptospira species to propose molecular markers for serogroup classification.