Researchers at King’s College London have conducted one of the most comprehensive studies to date on global antimicrobial resistance, using AI and predictive modelling to forecast how antibiotic resistance could evolve over the next 25 years.
The research identified approximately 210 resistance traits that are expected to become more widespread by 2050, highlighting future threats that could significantly impact public health worldwide.
The study, published in Cell Genomics, analysed thousands of bacterial genomes alongside environmental, health and socioeconomic data gathered from 127 countries.
By combining machine learning with long-term forecasting, scientists were able to determine which antimicrobial resistance traits are most likely to expand and which may become less prevalent in the coming decades.
The findings provide a roadmap for governments, healthcare systems and researchers seeking to address the growing challenge of global antimicrobial resistance.
The analysis narrowed the list of emerging threats to 32 high-risk resistance traits that are expected to pose the greatest danger due to their ability to spread between bacteria, animals and humans.
Global antimicrobial resistance remains a growing public health concern
Antimicrobial resistance (AMR) is widely recognised as one of the most serious health challenges facing the world.
Experts estimate that drug-resistant infections could contribute to 39 million deaths in the coming decades if effective interventions are not implemented.
Unlike a single disease outbreak, AMR involves a complex network of pathogens, resistance genes, human behaviour, healthcare practices and environmental influences.
This complexity has made it difficult for researchers and policymakers to predict which resistance mechanisms will become the most problematic in the future.
To address this challenge, the King’s College London team developed a multi-layered analytical framework capable of assessing both current resistance patterns and the broader factors driving their spread.
More than 45,000 genomes analysed across priority pathogens
The study focused on 16 bacterial species identified by the World Health Organization (WHO) as critical priority pathogens.
These included bacteria such as Klebsiella pneumoniae, Acinetobacter baumannii and Escherichia coli, all of which are associated with severe infections and increasingly limited treatment options.
Researchers examined more than 45,000 bacterial genomes to identify genetic traits directly linked to antibiotic resistance. Advanced machine-learning techniques were used to separate meaningful resistance markers from genetic variants that did not contribute to antimicrobial resistance.
The team then assessed more than 1,000 environmental, healthcare and socioeconomic indicators. Factors such as poverty levels, healthcare access, climate trends, sanitation and population density were included to understand how changing global conditions may influence future resistance patterns.
Inequality and living conditions identified as key drivers
One of the study’s most significant findings is the strong connection between socioeconomic conditions and the future spread of antimicrobial resistance.
Variables linked to poverty, overcrowding, inadequate sanitation, and limited healthcare access emerged as among the strongest predictors of increasing resistance.
The research suggests that addressing these underlying conditions may be just as important as reducing inappropriate antibiotic use.
The analysis also found that many of the highest-risk resistance mechanisms are highly mobile. This means they can move between different bacterial species and spread across human, animal and environmental populations, accelerating the emergence of difficult-to-treat infections.
Findings could shape future surveillance and policy
Of the 210 resistance traits projected to increase by 2050, researchers identified 32 as particularly concerning because of their prevalence in priority pathogens and their capacity for rapid transmission.
Researchers believe the findings can help improve surveillance programmes and guide investment toward the resistance threats most likely to affect global health in the future.
As global antimicrobial resistance continues to evolve, the study highlights the need for broader public health strategies that address social inequality, sanitation, nutrition and healthcare access alongside responsible antibiotic stewardship.
Team Health Accessible
Health & Wellness Editorial Team
HealthAccessible editorial team delivers trusted, accessible, and evidence-based health information for everyone.
