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News & Events
Institut Pasteur Korea Concludes 5th RAPID Symposium on AI and One Health Approaches to Antimicrobial Resistance
2026-11-06
Institut Pasteur Korea Concludes 5th RAPID Symposium
on AI and One Health Approaches to Antimicrobial Resistance
- International experts from six countries gather for the 5th RAPID Symposium -
- Discussions highlight AMR surveillance and prediction,
- International experts from six countries gather for the 5th RAPID Symposium -
- Discussions highlight AMR surveillance and prediction,
AI-powered diagnostics, and integrated response strategies -
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(Nov. 6, 2026, Gyeonggi-do, Rep. of Korea) Institut Pasteur Korea (IPK) announced that it had successfully hosted the 5th RAPID International Symposium on November 5, 2026.
Held under the theme “From AI Innovation to One Health Action for AMR,” the symposium featured two scientific sessions, “One Health on AMR” and “AI on AMR,” followed by a panel discussion. Organized around RAPID, a research collaboration network of infectious disease experts across the Asia-Pacific region within the Pasteur Network, the event brought together experts from leading research institutions and universities across six countries to share recent scientific advances and explore opportunities for international research collaboration.
The first session, “One Health on AMR,” highlighted research advances in antimicrobial resistance (AMR) surveillance and response through a One Health approach that considers the interconnected health of humans, animals, and the environment.
Professor Tieliu Shi of East China Normal University, China, presented research on AI-based identification of antibiotic resistance genes and their distribution across global cities, while Dr. Jung-Seok Lee of the International Vaccine Institute discussed the economic impact of AMR. Dr. Sokleaph Cheng of Institut Pasteur du Cambodge introduced an international collaborative project aimed at strengthening AMR surveillance in Cambodia. Dr. Amanda Gwee of the Murdoch Children’s Research Institute, Australia, examined the relationship between global warming and AMR from a clinical perspective, while Dr. Soojin Jang, Head of the Antibacterial Resistance Research Laboratory at IPK, presented research on AMR patterns across Asian cities.
The second session, “AI on AMR,” explored advances in AI-driven AMR surveillance and prediction, as well as emerging technologies for infectious disease diagnostics.
Professor Paweł P. Łabaj of the Małopolska Centre of Biotechnology at Jagiellonian University, Poland, presented an approach to developing a pathogen early warning system by integrating urban microbiome data with digital twin technology. Professor Hokyung Song of Chosun University, Korea, introduced research on identifying novel antibiotic resistance genes using machine learning. Professor Osman Ugur Sezerman of Acıbadem University, Türkiye, discussed cross-species AMR prediction using transfer learning, while Professor Jeong Hoon Lee of Korea University presented AI-powered diagnostic technologies for infectious diseases.
The subsequent panel discussion explored the potential applications and challenges of AI technologies in One Health-based AMR responses, as well as opportunities to strengthen international research collaboration.
Sung Key Jang, CEO of Institut Pasteur Korea, said, “As antimicrobial resistance poses a complex global public health threat, AI and other advanced technologies will play an increasingly important role in effective AMR surveillance, prediction, and response.” He added, “Building on the global research collaboration network established and expanded through the RAPID Symposium, we will continue to work closely with research institutions at home and abroad to advance collective efforts against antimicrobial resistance.”
AMR is recognized by the World Health Organization (WHO) as one of the major global public health threats and is often referred to as a “silent pandemic.” According to an international collaborative study published in 2024, bacterial antimicrobial resistance is projected to directly cause approximately 39.1 million deaths worldwide between 2025 and 2050.
The 5th RAPID Symposium was held with support from the Asia-Pacific Infectious Disease Shield (APIS) initiative, which works with IPK and partners across the Asia-Pacific region to strengthen international research networks and promote collaborative research on infectious diseases.
Held under the theme “From AI Innovation to One Health Action for AMR,” the symposium featured two scientific sessions, “One Health on AMR” and “AI on AMR,” followed by a panel discussion. Organized around RAPID, a research collaboration network of infectious disease experts across the Asia-Pacific region within the Pasteur Network, the event brought together experts from leading research institutions and universities across six countries to share recent scientific advances and explore opportunities for international research collaboration.
The first session, “One Health on AMR,” highlighted research advances in antimicrobial resistance (AMR) surveillance and response through a One Health approach that considers the interconnected health of humans, animals, and the environment.
Professor Tieliu Shi of East China Normal University, China, presented research on AI-based identification of antibiotic resistance genes and their distribution across global cities, while Dr. Jung-Seok Lee of the International Vaccine Institute discussed the economic impact of AMR. Dr. Sokleaph Cheng of Institut Pasteur du Cambodge introduced an international collaborative project aimed at strengthening AMR surveillance in Cambodia. Dr. Amanda Gwee of the Murdoch Children’s Research Institute, Australia, examined the relationship between global warming and AMR from a clinical perspective, while Dr. Soojin Jang, Head of the Antibacterial Resistance Research Laboratory at IPK, presented research on AMR patterns across Asian cities.
The second session, “AI on AMR,” explored advances in AI-driven AMR surveillance and prediction, as well as emerging technologies for infectious disease diagnostics.
Professor Paweł P. Łabaj of the Małopolska Centre of Biotechnology at Jagiellonian University, Poland, presented an approach to developing a pathogen early warning system by integrating urban microbiome data with digital twin technology. Professor Hokyung Song of Chosun University, Korea, introduced research on identifying novel antibiotic resistance genes using machine learning. Professor Osman Ugur Sezerman of Acıbadem University, Türkiye, discussed cross-species AMR prediction using transfer learning, while Professor Jeong Hoon Lee of Korea University presented AI-powered diagnostic technologies for infectious diseases.
The subsequent panel discussion explored the potential applications and challenges of AI technologies in One Health-based AMR responses, as well as opportunities to strengthen international research collaboration.
Sung Key Jang, CEO of Institut Pasteur Korea, said, “As antimicrobial resistance poses a complex global public health threat, AI and other advanced technologies will play an increasingly important role in effective AMR surveillance, prediction, and response.” He added, “Building on the global research collaboration network established and expanded through the RAPID Symposium, we will continue to work closely with research institutions at home and abroad to advance collective efforts against antimicrobial resistance.”
AMR is recognized by the World Health Organization (WHO) as one of the major global public health threats and is often referred to as a “silent pandemic.” According to an international collaborative study published in 2024, bacterial antimicrobial resistance is projected to directly cause approximately 39.1 million deaths worldwide between 2025 and 2050.
The 5th RAPID Symposium was held with support from the Asia-Pacific Infectious Disease Shield (APIS) initiative, which works with IPK and partners across the Asia-Pacific region to strengthen international research networks and promote collaborative research on infectious diseases.