The Fleming Initiative, a partnership between Imperial College London and Imperial College Healthcare NHS Trust, has received support from Amazon Web Services (AWS) for its global antimicrobial resistance (AMR) intelligence platform.
The backing, which includes several million pounds worth of cloud and AI technology and technical support, will supercharge the Initiative’s efforts to better connect data, researchers, clinicians, and public health stakeholders in the global response to AMR.
AMR occurs when microorganisms such as bacteria, viruses, fungi and parasites change in ways that make treatments ineffective.
It is one of the biggest global public health challenges, with annual deaths associated with AMR predicted to reach about 39 million between 2025 to 2050.
Yet progress in combating it remains slow due to fragmented surveillance systems, siloed research efforts, and limited access to integrated, real-world data across healthcare, laboratory, and community settings.
As drug-resistant infections continue to rise worldwide, healthcare systems face increasing challenges in detecting emerging resistance patterns, guiding effective treatment decisions, and coordinating responses across regions and institutions.
Speaking at the One Health Summit in Lyon, held under France’s G7 presidency, Professor the Lord Darzi of Denham, Executive Chair of the Fleming Initiative, described the AMR landscape as “a vast, interconnected ecosystem of data; millions, even billions, of signals. For decades that complexity has been our barrier. Today it can become our advantage.”
Now with the latest generative AI and cloud services from AWS, the Fleming Initiative is building a cloud-based platform that will, for the first time, bring together some of the world’s fragmented AMR datasets, including compound libraries and surveillance signals, to enable unique insights and accelerate discovery the world over.
Patterns that were previously invisible — hidden across institutional silos and national boundaries — will become detectable, enabling faster identification of emerging threats and accelerating the pipeline from data to discovery.
The Initiative also plans to apply generative AI tools from AWS, including Amazon Bedrock for accessing and managing high-performing Foundation Models (FMs) from top AI providers (such as Anthropic, Cohere, Meta, and Amazon), to open the in silico discovery space, helping to accelerate the generation of research insights that previously took years.
Together, these capabilities create the infrastructure for a living, global AMR intelligence platform — one that grows more powerful as more institutions contribute data.
It also supports researchers, healthcare organisations, industry, and policymakers to collaborate across borders, accelerate research and development, and build local and regional capacity for AMR surveillance, preparedness, and response.
Professor Alison Holmes, Director of the Fleming Initiative, said: “Antimicrobial resistance is a global challenge that no single institution, country, or dataset can solve alone.
“The support from AWS could help us unlock new opportunities to bring together expertise, data, and technology in ways that were not previously possible.
“By supporting more connected and accessible data ecosystems, researchers and public health leaders could collaborate more effectively, move faster, and generate new insights at the scale and pace that matches the urgency of the AMR crisis.”
Lord Darzi added: “Medicine and public health are increasingly driven by data. The opportunity now is not simply to gather more of it, but to turn it into action; at the speed and scale this threat demands.
“By pairing world-leading scientific expertise with the most advanced technology available, we can build a new generation of intelligence for AMR: one that allows countries, researchers, and health systems to anticipate threats rather than react to them. That is the ambition this moment requires.”
