Mathematical models can predict the success or failure of antibiotic therapy

Professor Natalie Balaban of the Hebrew University of Jerusalem and DrMaskid Ba-Mayer of the Shaalzedek Medical Centre in Jerusalem have demonstrated that bacteria considered to be resistant can be treated by a reasonable selection or combination of existing antibioticsBaraban says they can predict the effectiveness of antibiotic combinations against different bacteria and help doctors choose treatment options for patientsbacteria can produce defenses against harmful factors in their living environment, and a common strategy is "tolerance", in which antibiotics are dormant during antibiotic treatment, and bacteria survive through hibernation and ultimately become resistant because antibiotics can only detect and kill growing targetsBaraban and Ph.Dgraduate student Ayret Levin-Reisman have studied controlled bacteria in the lab and developed mathematical models that describe, measure and predict when bacteria are resistant to specific antibioticsAt the same time, they observed that bacteria are more likely to develop resistance when they are resistant to an antibioticthen, Baraban worked with Ba-Mayer to analyze bacterial samples from patients infected with Methicillin-resistant Staphylococcus aureus at the medical center and found that the pattern of the patients was very similar to what their laboratory found, in that bacteria first developed tolerance, then resistance, and eventually antibiotic treatment failedthe middle stage of the "antibiotic tolerance" of bacteria from tolerance to resistance lasts only a few days and cannot be detected in standard medical laboratories, but baraban's mathematical model can detect themBaraban said she hopes to repeat the experiment in other hospitals and enough patients to prove the effectiveness of the mathematical modelShe also encouraged more medical centers to adopt tests developed by their teams to quickly and easily detect whether a patient's bacteria are resistant to planned antibiotic treatment before being managedDepending on the patient's bacterial characteristics, doctors can choose antibiotics that kill the bacteria in the patient's bodylong term, Balaban believes that studying the evolution of antibiotic tolerance and resistance to bacteria may play a role in cancer treatment and can be used to guide cancer treatment, as tumor cells may first be resistant to chemotherapy and then resistant to other anticancer drugseditor-in-chief circlesbacteria this organism, the matter is very bigBest of all, they can always find a lot of ways to resist antibiotics and escape the risk of being "annihilated", which is bacterial resistance, a natural phenomenon reinforced by humansThe scary thing is that bacteria "share" this resistance to other people, and then to the next generation, so that it continues to evolve, and ultimately humans are infected but suffering from the availability of drugs Therefore, if we can accurately predict the failure or success of antibiotic development, it is equivalent to the human road to fight ingenuity resistance to bacteria, lighting a light.