Machine learning algorithms, commonly referred to as, helped scientists discover a powerful antibiotic, results from Abaucine proving to be effective in treatingHowever, this is one of the three superbugs that the WHO describes as a “critical” threat to human health, one of the greatest in the world. The bacteria is resistant to almost every antibiotic – .
Artificial intelligence has found a new antibiotic
The researchers fed the algorithm data on and known medicinal substances. Next, the AI was given information on 6,680 previously unfamiliar compounds to see if they would work against the superbug. After just an hour and a half, the algorithm spit out a list of several hundred substances that can help fight it Of these, 240 were tested and nine showed potential for use as superbug antibiotics.
This is all the more impressive as the growing resistance makes antibiotics less and less effective. Their discovery, on the other hand, is time-consuming and new ones have rarely appeared in recent decades. It is estimated that every year around the world almost
The new antibiotic seems to have great potential
is extremely dangerous because it constantly develops resistance to new ones. In addition, it can transfer its genetic material to other bacteria, which also allows them to develop resistance to modern therapies. Superbug is a threat to nursing homes and patients who need ventilators and blood catheters, and those with open wounds after surgery. In addition, it can live for a long time on various surfaces and medical equipment, which makes it possible to become infected even by touch. It causes infections of the blood, urinary system and lungs. It can also “colonize” live patients who, despite being infected, will not have any symptoms.
Discovered by AI, aubacine was tested on infected wound infections in mice. The substance stopped the infection. It was equally effective on samples of superbugs taken from humans. In addition, it turned out that it works precisely on this particular bacterium and does not kill others. Scientists believe that thanks to this, it will be harder for bacteria to develop resistance to aubacine, and patients will experience fewer side effects of taking it. However, before that happens, we will have to wait for human trials. Researchers estimate that the first drugs developed with the help of AI will enter the market in 2030 at the earliest.
AI will increase the pace – and in an ideal world, reduce the cost – of discovering new classes of antibiotics we desperately need
says Dr. Jonathan Stokes of McMaster University.
Source: Gazeta
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