The model also provides insights into how bacteria optimize their diffusion. Bacteria that infrequently change direction are more likely to get trapped in corners and remain there for longer, ...

When bacteria interact, they give off cellular signals that can trigger a response in their neighbors, causing them to behave in different ways or produce different substances. For example, they can ...

Fat bacteria? Skinny bacteria? From our perspective on high, they all seem to be about the same size. In fact, they are. Precisely why has been an open question, according to Rice University chemist ...

The worldwide increase of antimicrobial resistance (AMR) is a serious threat to human health. To avert the spread of AMR, fast reliable diagnostics tools that facilitate optimal antibiotic stewardship ...

Antibiotic resistance represents a major public health challenge, associated with a high mortality rate. While bacteriophages -- viruses that kill bacteria -- could be a solution for fighting ...

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 ...

Researchers lay out a mathematical model that explains how bacteria communicate within a larger ecosystem. By understanding how this process works, researchers can predict what actions might elicit ...

Researchers at McMaster University have developed a new generative artificial intelligence (AI) model capable of drastically speeding up drug discovery - and, in early tests, it has already designed a ...

Bacteria that rarely tumble are likely to get trapped by obstacles, slowing dispersion. Bacteria that tumble frequently often “retrace their steps,” also slowing dispersion. Dispersion is maximized by ...