New tech to help doctors reduce risks from antibiotic resistance crisis

Multi-resistance in bacteria predicted by AI model

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically similar bacteria and mainly occurs in wastewater treatment plants and inside the human body.

New tech helping reduce risk of antibiotic resistance crisis

By Victor Waters of RNZ New technology has been designed as part of a project prompting doctors to prescribe more safely to help reduce the looming risk of antimicrobial resistance, which one professor describes as: "a silent pandemic that is occurring globally."

New tech to help doctors reduce risks from antibiotic resistance crisis

The project will prompt doctors to prescribe more safely, to reduce the looming risk of antimicrobial resistance, which one professor describes as: "A silent pandemic that is occurring globally."

Fighting antimicrobial resistance: How public and private investment is essential

Economic incentives for companies to develop new antimicrobials are currently too weak to support the necessary research and regulatory processes on a drug’s long and expensive journey to the clinic. Increased collaborations between governments, NGOs, pharmaceutical companies, academia, and private investors could be the vital catalyst we so desperately need. A hard pill to swallow Which business wants to develop a drug that the world should ide…

The Empa laboratories are working on antimicrobial resistance sensors whose dyes react to certain bacteria. Image: Empa DMZ – SCIENCE ¦ MM ¦ AA ¦ Dübendorf, St. Gallen and Thun – The worldwide increase in antibiotic-resistant bacteria presents modern medicine with one of the greatest challenges. Infections that were once easy to treat can become life-threatening today. Researchers of the Swiss Federal Institute for Materials Testing and Research…