Modern Pathogen Surveillance through NGS

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Join us for a webinar on the latest in pathogen genomics and epidemiology. Our experts will cover how NGS and machine learning can enhance understanding of viral diversity and pathogen tracing. This event is perfect for researchers focused on improving surveillance strategies.

In this webinar, you will learn:

• The challenges and strategies for capturing the genetic diversity of human rhinoviruses through next-generation sequencing
• How hierarchical machine learning models can accurately trace the geographical origins of gastrointestinal pathogens, with a focus on Salmonella enterica
• Insights into the evolutionary patterns of RV, including intergenotypic recombination and the implications for immunity
• Practical applications of genomic epidemiology for rapid outbreak resolution and real-time surveillance for other pathogens and antimicrobial resistance prediction

Who should attend:

• Genomics researchers
• Epidemiologists
• Bioinformaticians
• Public health scientists
• Microbiologists
• Infectious disease researchers

Register today to learn how these technologies can enhance your research and strengthen pathogen surveillance efforts!