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Individual antibiotics effectively combat antibiotic resistance

Individual antibiotics effectively combat antibiotic resistance


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Important research success achieved with antibiotics

Researchers have now developed a new technology that adapts antibiotics to the individual needs of individual patients, thereby reducing the risk of treatment being adversely affected by an ineffective composition.

In the current investigation by the Technion - Israel Institute of Technology, antibiotics were created that are specially tailored to the individual needs of patients. The results of the study were published in the English-language journal "Nature Medicine".

Danger from antibiotic-resistant bacteria

One of the challenges of modern medicine is dealing with antibiotic-resistant bacteria. Every year, many people around the world die after becoming infected with antibiotic-resistant bacteria. Excessive use of antibiotics can cause bacteria to develop new antibiotic resistance and the drugs can lose their effectiveness.

What happens when infections become resistant to all known treatments?

One way to prevent the development of resistant bacteria is to reduce the use of antibiotics in medical treatments. Resistant bacteria, which are caused by overuse of the use of antibiotics, can at worst withstand all currently available treatments and can thus be fatal.

The degree of bacterial resistance to infections can be predicted

By using artificial intelligence together with patient data, specific antibiotics could be developed in the future, which are tailored to the needs of each individual patient. The authors of the study explain that it is now possible to predict the level of bacterial resistance for bacteria causing infections.

AI calculates bacterial resistance using various data

This is done by weighing demographic data, including age, gender, pregnancy and other factors, together with resistance values, which were measured in the so-called urine cultures of the patients. This unique breakthrough by Israeli researchers will further pave the way for the use of artificial intelligence in medical fields. (as)

Author and source information

This text corresponds to the specifications of the medical literature, medical guidelines and current studies and has been checked by medical doctors.

Swell:

  • Idan Yelin, Olga Snitser, Gal Novich, Rachel Katz, Ofir Tal et al .: Personal clinical history predicts antibiotic resistance of urinary tract infections, in Nature Medicine, Nature Medicine



Video: Antibiotics vs. Bacteria: Fighting the Resistance (November 2022).