A new approach to the treatment of "blood rot" using artificial intelligence

A team of researchers used an innovative approach to an allergy test for antimicrobials; It depends on artificial intelligence to make significant progress in the field of medical microbiology, and the new method of blood rot is used before a deadly infection is spread in patients. Blood “sepsis” causes about 49 million cases in the world; And 11 million deaths annually, which represent 20% of total deaths in the world, according to data for the World Health Organization, and the rapid and accurate diagnosis is very important as the risk of death increases by up to 8% every hour without effective treatment. However, the current diagnostic standard depends on the growth of microbes in the sample farms taken from the patient, and it usually takes between two to 3 days, and doctors can choose to give broad -spectrum antibiotics until more information is available for accurate diagnosis, but it can have a limited effectiveness and a possible toxicity for the patient. The delay seriously affects the patient care, especially in cases of serious infection, where the right antibiotics are very important in time. According to the new study, published during the activities of the American Association for Microbiology, the system is known as Keynome® Gast the need for a bacterial farm completely, by analyzing the full bacterial genome directly from the blood samples from patients, this artificial intelligence system provides a much faster alternative. Information on artificial intelligence and bacteria The system uses advanced artificial intelligence -algorithms to decode the genetic information of bacteria, and through bacterial DNA examination, the system can predict how bacteria respond to different antibiotics, and this genetic approach allows it to choose medicine resistant breeds. Independent learning algorithms are independently determined the motifs of resistance and ability based on data from a wide database that is constantly large, which includes more than 75 thousand bacterial genome and 800 thousand due to an allergy test, which allows fast and accurate predictions to withstand antimicrobials, which dissuages ​​a revolution in the diagnosis and treatment. The researchers believe the exact identification of resistant strains and choosing the most effective antibiotics can significantly improve the effectiveness of treatment, reduce the duration of the disease and prevent complications. The introduction of the system can represent a major shift in the management of infection in health care locations; The allergy test for antibiotics is faster, and more accurately allows the use of antibiotics in time, appropriate, which reduces the spread of antibiotic resistance, and it can also improve the ability to respond quickly to the outbreak of the disease and treats for individual patients, which improve the comprehensive quality of care. Although the results are promising, more studies are needed to verify the health of the system through a wide range of bacterial settings and strains, and the researchers believe that more study is needed, given the size of the limited sample, but the results may contribute to significant progress in patients, amid the increasing threat to withstand antimicrobial agents.