A.I. Is Not Going to Magically Deliver a Coronavirus Vaccine

The discovery of a chemical compound with antibiotic properties is a helpful case study in the potential — and limits — of using A.I. to develop new treatments

Corinne Purtill
OneZero

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Photo of a researcher wearing gloves and safety gear pipetting into tubes.
Photo: boonchai wedmakawand/Getty Images

In late February, a paper appeared in the journal Cell with encouraging news regarding one of the world’s most persistent public health problems. Researchers at Massachusetts Institute of Technology and Harvard University had used artificial intelligence to identify a chemical compound with powerful antibiotic properties against some of the world’s most drug-resistant strains of bacteria — a welcome discovery in a world where 700,000 people die every year from drug-resistant infections. It was the first time an antibacterial compound had been identified this way. The researchers named it halicin, in honor of the computer HAL in the film 2001: Space Odyssey.

While the global need for new antibiotics to treat drug-resistant infections is as pressing as it was at the start of the year, the world’s attention has been diverted by the novel coronavirus pandemic, and the hunt for a vaccine that can halt Covid’s spread. Like new antibiotics, new vaccines typically take up to 10 years to deliver. In the case of the Covid vaccine, scientists are working frantically…

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