Bryan Naidenov

Gene-language models are whole genome representation learners

This paper introduces a gene-language model that generates whole-genome vector representations from bacterial species, achieving state-of-the-art accuracy in antibiotic resistance prediction.

Pan-genomic and Polymorphic Driven Prediction of Antibiotic Resistance in Elizabethkingia

The paper predicts antibiotic resistance in Elizabethkingia using pan-genomic analysis and machine learning, achieving high F1 scores for clindamycin and vancomycin resistance.

Genomic Surveillance for Antimicrobial Resistance in Mannheimia haemolytica Using Nanopore Single Molecule Sequencing Technology

The paper uses nanopore sequencing to identify antimicrobial resistance genes in Mannheimia haemolytica strains and validates their resistance phenotypes.