Overview

• Rafael Pérez and Anton Pashkov led the Universidad Nacional Autónoma de México campus Morelia team to victory at the CAMDA 2025 conference in Liverpool.
• The project united mathematics, biology and computer science specialists at CCM UNAM Morelia to develop an algorithm predicting bacterial resistance to common antibiotics.
• During a Morelia press briefing on August 13, researchers revealed they validated their model using scarce Latin American microbiome data to highlight regional genetic differences.
• Investigators emphasized the need for expanded local datasets and enhanced computing infrastructure to boost model reliability and generalizability.
• The team outlined next steps to integrate their predictive framework into personalized microbiome health checks and global antibiotic-resistance surveillance systems.