AI WGS data sharing
- Harmonization of supervised machine learning practices for efficient source attribution of Listeria monocytogenes based on genomic data.
- Predicting Listeria monocytogenes virulence potential using whole genome sequencing and machine learning.
- Machine learning to predict foodborne salmonellosis outbreaks based ongenome characteristics and meteorological trends.
- Whole-genome sequencing surveillance and machine learning for healthcare outbreak detection and investigation: A systematic review and summary.
- Emerging applications of artificial intelligence in pathogen genomics.
- Machine learning-based predictive modeling to identify genotypic traits associated with Salmonella enterica disease endpoints in isolates fromground chicken.
- Six dilemmas for stakeholders inherently affecting data sharing during a zoonotic (re‑) emerging infectious disease outbreak response.
- A search-based geographic metadata curation pipeline to refine sequencing institution information and support public health.
Antimicrobial resistance – WGS
- Genomics for public health and international surveillance of antimicrobial resistance.
- Innovations in genomic antimicrobial resistance surveillance.
- Prospective Genomic Surveillance Reveals Cryptic MRSA Outbreaks with Local to International Origins among NICU Patients.
Economic session
- Economic evaluation of whole genome sequencing for pathogen identification and surveillance – results of case studies in Europe and the Americas 2016 to 2019.
- An economic evaluation of the Whole Genome Sequencing source tracking program in the U.S.
- The Economic Benefits of the New Zealand Food Safety Science and Research Centre.
- A systematic review of economic evaluations of whole-genome sequencing for the surveillance of bacterial pathogens.
- FDA on how it uses WGS. Plus, Cost – Benefit – Budget
Reports, Regulations
- Legal Regulation of Whole Genome Sequencing of Listeria monocytogenes in the Food Industry: Challenges, Attitudes, Possibilities.
- COMMISSION IMPLEMENTING REGULATION (EU) of on the monitoring and reporting of molecular analytical data within the frame of epidemiological investigations of food-borne outbreaks in accordance with Article 8 of Directive 2003/99/EC of the European Parliament and of the Council.
- The 13th Meeting of the Global Microbial Identifier (GMI13): Conference Report.
- Global Microbial Identifier: Charter and Structure.
- Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field (2023).
- Forum on Microbial Threats: Annual Report 2022 (2023).
- Singapore Statement on Sequencing June 2019.
- WHO- Whole genome sequencing as a tool to strengthen foodborne disease surveillance and response.
- World Health Statistics 2023.