Israeli researchers have found that artificial intelligence (AI) can work if you have, or are at risk of developing, antibiotic resistance.
This could help revolutionize a major health problem around the world.
The new study published in the scientific journal science dailyIn this study, data from 200,000 patients were used, and information was collected about their previous infections, the bacterial strain that caused them, how they were treated and whether the person later developed an antibiotic-resistant infection.
The AI then calculated the risks of which type of antibiotic could lead to resistance in an individual, and which type to use instead, so that one would avoid resistance.
– this is exciting! We believe that artificial intelligence will play an important role in the healthcare system in the future, and we are excited to be able to offer more accurate treatment to our patients,” says Drubin Professional Director of Medical Services, Ann-Mart Ladem.
The new research makes it possible to analyze patient records and, with the help of a newly discovered algorithm, one can halve the risk of developing antibiotic resistance.
Antibiotic resistance is a serious and growing health problem which means bacteria are acquiring antibiotic resistance. Thus, the antibiotic, which should be able to treat bacterial infections, will not work.
It is time to use all the tools to combat one of today’s major global health challenges such as antibiotic resistance. Ladem believes that many of the tasks physicians will undertake today will be complemented by artificial intelligence in the future.
– At Dr. Drobin, we’re already using artificial intelligence to detect skin cancer early, and early diagnosis gives a better prognosis, she says.
It can suit the individual
The research report is based on the most common bacterial infections, urinary tract infections, and wound infections. AI can determine what type of antibiotic will work best for a patient, without developing resistance to treatment.
“We wanted to find out how antibiotic resistance emerges during treatment, and to find better ways to customize antibiotic treatment for each individual patient,” Professor Roy Kishoni of the Technion, Israel Institute of Technology, School of Biology told Science Daily.
– Then we can make sure that the treatment is compatible with the individual’s sensitivity to antibiotics, but also reduces the risk of the infection returning and that the patient does not respond to the treatment.
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What can be expected?
The key to the project’s success was knowing how the development of antibiotic resistance could be predicted based on an individual’s previous infections.
How some people may be susceptible to antibiotics can be used to predict the risk of developing a resistant infection after antibiotic treatment, says Dr. Matthew Strasey, lead author of the Science Daily research report.
Combined with information regarding the patient’s age and gender, it became possible to develop the algorithm, which the research team hopes will be of great use in the future.
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