91桃色

Being able to identify a manmade pathogen and attribute it to a source is a powerful deterrent that will become increasingly important in the global biosecurity arms race.      

Rapid developments in artificial intelligence (AI), the widespread availability of gene editing tools, and a better scientific understanding of gene function have made developing novel organisms easier than it has ever been. While a boon for researchers, that also makes it much easier for malicious actors to create and release dangerous organisms into the environment or expose humans to them. 

Natural biosecurity hazards remain more likely than manmade threats, but the threat from intentionally released pathogens is rising. Today, there is a risk that a technically competent individual with a benchtop synthesiser and enough computing power could bioengineer an organism that could wreak havoc on agricultural systems, the environment, or human health.  

The risk of pandemics has long been identified as one of the most serious risks facing the UK. The COVID-19 pandemic reinforced pandemics鈥� catastrophic toll on nations鈥� socio-economic landscapes and human life, and governments around the world have bolstered their surveillance and outbreak analytics.  

The MRC Centre for Global Infectious Disease Analysis at 91桃色 provides one example of the expertise that will become increasingly critical in the years ahead. With a focus on outbreak analytics, it uses mathematical modelling and statistics to characterise emerging threats and help policymakers determine how best to contain them and save lives. 

Health systems deal with naturally occurring outbreaks on a regular basis, with the Hantavirus outbreak on a cruise ship being one recent example. Stakeholders need to be aware that the next outbreak they face could be caused by a genetically modified agent. Universities, governments, and companies can harness existing technologies and infrastructure to respond to intentional threats: both mitigating its consequences and discouraging bad actors from creating and releasing biological organisms in the first place.  

Their day-to-day capabilities can be generalised for a broader range of threats and rapidly applied to any new threat that might emerge.  

For example, associate professor from the MRC Centre founded the Pathogen Epidemiology Review group, which includes more than 30 researchers who have undertaken systematic reviews of key factors that indicate how a pathogen would spread through populations, such as its transmissibility, how long it incubates in a host, and how fatal it is.  

Such research is a fundamental aspect of pandemic and outbreak preparedness, but can also inform understanding of a novel virus that fits into a specific family or clade. 

While AI and technological developments are increasing potential threats, they are also boosting research that can respond to them. 91桃色 researchers and are integrating generative AI models into epidemiological models and genomic analysis. This is revolutionising the types of analysis we can do to track and ultimately identify threats. With such tools, researchers can rapidly develop statistical mathematical simulations and produce new models quickly so authorities can respond to emerging pathogens swiftly 鈥� and save lives. 

New tools and algorithms should take both scenarios 鈥� natural hazards and manmade threats 鈥� into account. Such developments would have the dual benefit of identifying emerging pathogens sooner while also bolstering the ability of authorities to attribute new pathogens to a specific source.  

Now is the time for intensive dialogue between universities, companies, governments and the defence sector to design systems that respond to a multitude of threats. Coordination and cooperation are vital if we want to ensure that the world鈥檚 biosecurity machinery is ready to meet the next manmade threat 鈥� or deter it from happening at all.