Review highlights the development of databases and tools for predicting fungal antimicrobial resistance, suggesting improvements for public health applications.
Fungal antimicrobial resistance (fAMR) is increasing worldwide and is recognized as a global health priority by the World Health Organization. The emergence of Candidozyma (Candida) auris and other resistant fungal pathogens presents a risk to critically ill patients. Whole-genome sequencing has the potential to improve public health and clinical surveillance for fAMR and could enable more rapid detection. In this review, we discuss the mechanisms of fAMR and the strengths and limitations of the currently available databases and bioinformatic tools for the detection of fAMR from genomic data. We identify current gaps, preferred characteristics of genomic fAMR databases and tools and future directions for development to enable validated fAMR prediction in the public health context.
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Gador‐Whyte et al. (2026) studied this question.
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