AI-designed 'universal vaccine' passes first human clinical trial, could prevent future pandemics
Researchers from the Universities of Cambridge and Southampton successfully tested an AI-designed universal vaccine in its first human trial, showing safety and immune response in 39 volunteers against multiple Sarbeco coronaviruses, including future variants. The vaccine uses AI-generated antigen data and a needle-free delivery method, aiming to prevent future pandemics by targeting common viral features across the group.
A vaccine developed using artificial intelligence to protect against multiple Sarbeco coronaviruses, including SARS-CoV-2 and potential future variants, has passed its first human clinical trial. Researchers from the Universities of Cambridge and Southampton designed a 'super-antigen' by analyzing genetic sequences of the virus group, creating a vaccine that could trigger an immune response against both known and emerging strains. The trial, led by University of Southampton professor Saul Faust, involved 39 healthy volunteers and demonstrated the vaccine’s safety and effectiveness in generating an immune response. Unlike traditional vaccines, which require constant updates as viruses mutate, this AI-designed vaccine targets common features across the Sarbeco family, offering broader protection. The vaccine was administered using a needle-free micro-fluid jet, a method the researchers say could improve scalability for mass immunization. Faust described the new vaccine class as 'future-proofed,' capable of preventing outbreaks before they occur and potentially saving millions of lives. While the trial results are promising, the researchers emphasize the need for larger studies with a more diverse population. Their findings were published in the *Journal of Infection*. Concerns about AI in medicine, including data bias and liability issues, were also noted by some experts, though the focus here was on vaccine development rather than clinical decision-making.
This content was automatically generated and/or translated by AI. It may contain inaccuracies. Please refer to the original sources for verification.