A rare syndrome linked to purple urine reveals surprising insights into bacterial colonisation, metabolism, and risks for ...

Dübendorf, 03.04.2025 - To predict toxic algal blooms, researchers from Eawag recommend a combination of species identification and chemical measurements. Now, a new study confirms that there is no ...

The first-of-its-kind in-depth bacterial evolutionary map could pave the way for the development of precision treatments for ...

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 ...

Keeping a couple of clean test pots – together with some disposable gloves and disinfectant wipes – in the lambing kit makes ...

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant.

Mobile DNA elements, such as Insertion Sequence (IS) elements, transposons, integrative elements (e.g. integrative islands), ...

Empa researchers are therefore working on sensors that quickly identify resistant germs and recommend efficient treatment. The spread of antibiotic-resistant superbugs is plunging health care ...

Even better, they discovered that lariocidin—named for its knotted, lasso-like chemical structure—has a unique mechanism of ...

Palau, a postdoctoral researcher at the University of Tübingen (Germany) discusses his latest research investigating per- and ...

When exposed to antibiotics, approximately one out of every 10 8 -10 9 bacteria develops resistance due to spontaneous ...