Cambridge scientists are hailing an AI-crafted “super-antigen” as a breakthrough that could ‘get ahead of pandemics’, blanket-protect against every COVID variant, and spare the world future lockdowns while saving millions of lives.
Yet the same public that lived through the last round of experimental shots is not buying the hype. Responses to the announcements have been blunt, laced with references to documented harms, AI’s well-known limitations, and fresh warnings from cancer specialists who watched stable patients relapse after previous boosters.
University of Cambridge researchers, led by Professor Jonathan Heeney, say they have produced the first antigen designed entirely by artificial intelligence and tested in humans.
The team fed AI systems genetic sequences from multiple coronaviruses collected through ongoing surveillance programs. The algorithm then assembled a “super-antigen” intended to train the immune system to recognize whole virus families rather than single strains that keep mutating.
Early human testing involved 39 volunteers and produced what researchers called modest immune responses but no major safety red flags in the initial readout. A larger study with roughly 200 participants is now running to measure stronger and more durable protection.
The same platform is being extended toward universal flu shots, H5N1 bird flu candidates, and vaccines against viral hemorrhagic fevers.
Hellbound and Down 