Scientists develop a smart platform that reveals infection and stops the outbreak of diseases

Scientists from the American University of Pittsburgh have developed a platform to detect infectious diseases during an experiment that lasted over two years, the ability to stop the outbreak of infection, save lives and significantly reduce medical costs. According to the study, the system depends on the improved detection of the transmission of infection in health facilities, from the technique of genetic order that has become more accurate, and it is available to analyze the samples of infectious diseases of patients. This system is characterized by its analytical accuracy, as it can examine the complete genetic composition of bacteria with a resolution of up to 99.9%, with the ability to monitor the most accurate genetic changes that may not exceed the difference of one building unit in the genetic material. According to the study, the system also depends on the latest genetic code reading technologies that produce results within two days, compared to the weeks required by old methods. The new system works through advanced computer programs that compare bacterial samples, and determines the degree of relationship between them using detailed development cards and has a high allergy that allows it to detect the infection chain, even if there are few mutations between the stems, with an accuracy of up to 95% in the diagnosis of confirmed transfer. The system is particularly focused on detecting dangerous bacteria that withstand antibiotics such as gold antibiotic groups. The researchers believe that the system is smooth with electronic medical record systems and immediate warnings of medical teams when discovering any potential risk of infection transfer. Determining the sources of infection and its distribution methods, and from the economic point of view, is the system of a remarkable development, as the cost of genetic analyzes has dropped significantly from thousands of dollars to several hundred, with a saving of up to 70% of traditional epidemiological investigation spending. The system also provides an unprecedented accuracy in identifying the sources of infection and their distribution methods compared to the old methods that depended on the analysis of the patterns of DNA. And when the system discovers that two or more infection stems are identical or much the same among patients, it automatically sends a warning to the hospital infection team to investigate the common dividers and stop the transition chain. The study published in the “Clinical Invaksce Deszes” journal was conducted between November 2021 and October 2023 at UPMC Presbyterian Hospital, and the results showed that the new system prevented 62 infections and 5 deaths compared to what would have happened if the system did not work. Without using the genetic sequence, the infection control teams in hospitals cannot distinguish between whether the patients have the same infection by chance or that the infection has been transmitted in the hospital, resulting in a uniformity of the infection, or wasting time and resources to investigate similar but unrelated infections. The researchers emphasize that the acceptance of this system is widely enabled to develop a system to detect the outbreaks of disease, especially foods transferred to the US states. The researchers confirm that such a system was to stop early bacteria associated with infected eye drops in 2023, which was detected late.