Watching, Learning, Acting: AI and One Health on the Front Foot

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This issue is threaded together by a single idea: the distance between sensing a threat and doing something about it is shrinking fast. Better surveillance, smarter gene-editing tools, and AI systems capable of genuine biological discovery are all pulling in the same direction.

The risks haven't shrunk with them — West Nile virus, antimicrobial resistance (AMR) and a busy outbreak calendar remind us why speed matters. The encouraging news is that the tools catching up to those challenges have rarely looked more capable.

Communicable disease threats report, 19-25 September, week 39

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The European Centre for Disease Prevention and Control's weekly communicable disease threats report for 19-25 September provides updates on multiple infectious disease concerns across the EU/EEA, including respiratory viruses, Ebola, West Nile Virus, Crimean-Congo haemorrhagic fever, dengue, chikungunya, and vibrio contamination in coastal waters.

From principles to binding rules: A one health governance readiness analysis of Saudi Arabia's AI health policy against global regulatory benchmarks.

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Saudi Arabia has built substantial artificial intelligence health governance infrastructure but lacks binding, AI-specific health laws and independent third-party oversight comparable to European standards, according to a comparative analysis against WHO and EU regulatory benchmarks. The study identifies key gaps in data governance, ethics codification, and workforce capacity building that Saudi Arabia should address to strengthen its framework for safely deploying AI in clinical diagnosis, disease surveillance, and health data systems.

PrimaryEurope PMC(opens in new tab)12 Sept 2026
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Life-history traits associated to West Nile virus seroprevalence in wild birds: Lessons from the recent outbreaks in Spain.

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Researchers analysing two decades of West Nile virus antibody data from nearly 20,000 wild birds across Spain found that urban-dwelling bird species showed higher infection rates than forest or shrubland species, and that seroprevalence in city birds correlated with human outbreak years, suggesting urban birds could serve as early warning sentinels for human cases. The study demonstrates how incorporating ecological traits and evolutionary relationships into surveillance can improve understanding of vector-borne disease dynamics within a One Health framework.

PrimaryEurope PMC(opens in new tab)10 Sept 2026

Machine-learning in optimization of CRISPR technology.

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Machine-learning techniques are being applied to overcome limitations in CRISPR gene-editing technology by optimising critical components such as guide RNA design, protein engineering and target recognition, with potential applications across One Health sectors including agriculture and medicine.

PrimaryEurope PMC(opens in new tab)17 Sept 2026

Claude discovers a novel enzyme system with CRISPR-like repeats

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Claude, an AI system, has identified a previously unknown enzyme system featuring CRISPR-like repeating sequences, suggesting artificial intelligence can accelerate the discovery of novel biological mechanisms with potential applications in genetic engineering and biotechnology.

UKHSA expands wastewater surveillance to strengthen ‘early warning system’ for dangerous pathogens

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The UK Health Security Agency is expanding wastewater surveillance using £3 million in funding to monitor hospital wastewater and high-traffic locations, strengthening early detection of dangerous pathogens across the country. This expanded surveillance network aims to provide an earlier warning system for potential disease outbreaks before they become widespread in the population.

UKHSA and PACE make new bacteria available to support research into tackling antimicrobial resistance

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The UK Health Security Agency and PACE have made WHO-prioritised bacteria available to researchers to support studies aimed at combating antimicrobial resistance.

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