With the help of a study, researchers have revealed that resistant bacteria can regain susceptibility to antibiotics when the treatment is combined with a material equipped with antibacterial peptides. They further state that antibiotics can achieve a 64-fold increase in bactericidal effect when used together with the material, whose antibacterial properties are also greatly enhanced by this combination.

Scientists have developed a realistic ‘micro-gut’ model that can help them to study the relationship between gut microbes and human diseases. The 3D scalable ‘gut-on-a-chip’ model enables real-time visualisation of the interactions of gut microbes and the human intestine.

Penn State researchers warn that household dogs may transmit antibiotic-resistant Salmonella to humans, posing a public health risk. Close pet interactions and improper hygiene can increase infection chances, but awareness and simple practices, like handwashing, can help protect both humans and their furry companions.

Researchers have developed an AI system to interpret the Kirby-Bauer disk diffusion test, which helps identify which antibiotics are effective against bacterial infections. While still requiring refinement, the AI system shows promise in supporting doctors by speeding up the identification of resistance to life-saving antibiotics.

Scientists at Caltech and Princeton have uncovered how bacteria in polymer-rich environments like mucus form entangled cable-like structures, offering new insights into infections, biofilms, and industrial challenges. This study reveals surprising parallels between biological and non-living gels, paving the way for future research and innovative solutions.

Antibiotic-resistant infections are on the rise, projected to claim nearly 2 million lives annually by 2050. In a breakthrough study, researchers at UC San Diego have uncovered a vulnerability in resistant bacteria: a physiological cost tied to their ribosomes' magnesium dependency.

A novel new test for bacteria in fluids makes it as easy as observing a colour change to confirm the presence of disease-causing pathogens, promising much easier diagnostic tests and greater food safety.

Antimicrobial resistance (AMR) threatens to cause over 39 million deaths by 2050, as revealed by a global analysis. Without urgent action, this looming crisis could reshape the future of global health.

Stanford engineers are tackling the challenge of plant-based meat development with a fresh perspective: mechanical texture testing combined with machine learning. Their innovative method mimics human taste testers and could accelerate the creation of convincing meat alternatives, paving the way for more sustainable diets without sacrificing texture or taste.

Researchers are making use of artificial intelligence to develop new, safe and effective antibiotics for humans. They have engineered a version of a bacteria-killing drug that was previously toxic in humans, so that it would be safe to use.