Machine Learning Reveals Distinct Phenotypic Virulence Clusters in Candida Isolates Recovered from the Nasopharynx of COVID-19 Convalescents

Background

Candida spp. are opportunistic fungi whose pathogenic potential arises from interactions among multiple phenotypic traits that may not be captured by conventional single-factor analyses. This study aimed to identify multidimensional phenotypic virulence profiles among clinical Candida isolates using unsupervised machine learning.