Gherard Batisti Biffignandi

The paper develops a rules-based classifier to predict ciprofloxacin resistance in Klebsiella pneumoniae from genotype data and demonstrates its global distribution association with quinolone consumption.

The paper characterizes a persistent, azole-resistant C. parapsilosis strain responsible for a hospital outbreak, identifying genetic mutations linked to antifungal resistance.

The paper uses whole genome sequencing to identify three distinct populations of Cryptosporidium parvum, showing the emergence and spread of a European population to the USA.

This paper optimizes machine learning prediction of MICs in Klebsiella pneumoniae by evaluating regression vs classification approaches based on antibiotic concentration levels.

The paper introduces a novel index, FOGS, to measure bacterial genome plasticity by incorporating time and gene transfer events, showing higher FOGS in high-risk clones.

The paper tracks the emergence and global spread of 7 SARS-CoV-2 amino acid variants, identifying 6 phylogenetic clades with changing frequencies over time.