Researchers have developed a new machine learning technology that will help prescribe the proper drug needed by a person to fight off bacterial infection. The new tech would help determine the adequate medicine for a person and avoid having the unnecessary one that will trigger an "antibiotic resistance" to a person.
Antibiotic Machine Learning for Prescription Developed by Researchers
An employee of French innovative biotech company NG Biotech manufactures "Carba" tests, an antibiotic resistance test in Guipry, western France on April 6, 2020. (Photo by Damien MEYER / AFP)
Researchers from the Technion - Israel Institute of Technology developed a new machine learning technology that will help in providing the right prescription for a person. Drugs are sensitive for people, and they may trigger different unwanted side effects that will be out of the control of the professionals that give them to patients.
The research is a collaboration between Technion and Henry and Marilyn Taub Faculty of Computer Science, along with several participants in the study. The group's focus is to give the people the proper medication they need to fight bacterial infection and help them heal faster.
The tech will provide a more accurate prescription to ensure that patients would not develop something worse from within their bodies.
Reduces 'Antibiotic Resistance' By Half
The study entitled "Machine learning antibiotic prescriptions can help minimize resistance spread" was recently published, appearing via Science Daily, and it explains how the tech would help in this situation. The focus is to reduce antibiotic resistance, and this would more accurately give people what they need instead of a close one that may trigger a worst-case scenario.
Antibiotics and Drugs
Antibiotics are sensitive drugs as they can both be a pro and a con when taken, significantly as they can trigger resistance from bacteria when drinking or consuming a less accurate one. That is why doctors are careful to prescribe these types of medicines, as it could be more dangerous for a person instead of helping them get rid of the bacterial infection.
Several research already looked into the antibiotics' phenomenon of triggering drug-resistant bacteria inside a person's body, especially as it is somehow irreversible for people.
The drug's misuse may lead to a "superbug" phenomenon from the resistance that will trigger a possible cancer development in the body and happen shortly.
Nevertheless, researchers may not be focusing on creating a drug to counter bacteria's resistance on one's body, but they are still looking for ways to avoid this from happening. One example is the machine learning technology that aims to bring the right drug prescription for a person after analyzing the different factors present in a patient.
Related Article: A New Antibiotic, WLBU2, Has Been Developed That Could Fight Ventilator-Associated Lung Infections
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Written by Isaiah Richard
