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The computer-generated vaccine has been developed by Australian scientists, but it is currently undergoing clinical trials in the United States, the researchers said they were not able to test it locally because bureaucratic bureaucracy.
A team of researchers led by Dr. Nikolai Petrovsky, professor of medicine at Flinders University, has used artificial intelligence to create a new, highly effective influenza vaccine, said Business Insider Australia.
The artificial intelligence program, known as the Search Algorithm for Ligands (SAM) algorithm, is designed to look for ideal chemical compounds that can provoke an appropriate response from a human immune system among thousands of billions of possible combinations.
"We had to teach the AI program a set of compounds known to activate the human immune system and a set of compounds that do not work," said Dr. Petrovsky. "The job of artificial intelligence was then to determine for oneself what distinguished a drug that worked from the one that did not work."
The next step was to create the "synthetic chemist", a generator of random chemical compounds capable of combining "billions of different chemical compounds", which are then sent to SAM for badysis in order to eliminate the ball and find compounds that can be used to develop drugs for humans.
Once SAM finished his calculations, the scientists tested the best candidates for the artificial intelligence tool on human blood cells. "This confirmed that SAM not only had the ability to identify good drugs, but had in fact developed better immune medications for humans than it currently exists." Dr. Petrovsky is touted.
The drugs were then tested on animals, again confirming their effectiveness.
The SAM influenza vaccine is currently undergoing clinical trials in the. Earlier, Petrovsky and his team complained of being able to perform tests at Flinders Medical Center in Adelaide, Australia, until two years ago, with no bureaucratic efforts to block them.
"We would like to be able to do our research here, but unfortunately we can not do our clinical trials here," Petrovsky told the Australian ABC News newspaper last week.
According to the academic, the local health network in southern Adelaide told him not to conduct the tests, even though one of the tests was already underway. "I have never heard that lawsuits are stopped the same way elsewhere in Australia," he complains.
The team's research has now received funding from the US National Institute of Allergy and Infectious Diseases. Scientists have expressed confidence that their vaccine may one day supplement or even replace standard influenza vaccines currently in use in Australia.
Speaking to the CNET on the AI program, Petrovsky said the biggest potential of SAM could be its ability to predict future mutations of a virus.
"I believe that only a properly trained AI will be able to explore these patterns and choices [in the mutations] so that it can then really predict where the virus is likely to spread eventually … We can then use it to design a vaccine that predicts the future influenza virus rather than the past, "he said. .
According to scientists, SAM could potentially reduce the discovery of new drugs by years or decades, and save businesses hundreds of millions of dollars in work hours.
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