This Common Fungus Found on Human Skin Wipes Out Deadly Superbug Staph Infections

University of Oregon researchers have uncovered a molecule produced by yeast living on human skin that showed potent antimicrobial properties against a pathogen responsible for a half-million hospitalizations annually in the US.It’s a unique approach to tackling the growing problem of antibiotic-resistant bacteria. With the global threat of drug-resistant infections, fungi inhabiting human skin are an untapped resource for identifying new antibiotics, said Caitlin Kowalski, a postdoctoral researcher at the UO who led the study.Described in a paper published last month in Current Biology, the common skin fungus Malassezia gobbles up oil and fats on human skin to produce fatty acids that selectively eliminate Staphylococcus aureus.One out of every three people have Staphylococcus aureus harmlessly dwelling in their nose, but the bacteria are a risk factor for serious infections when given the opportunity: open wounds, abrasions and cuts. They’re the primary cause of skin and soft tissue infections known as staph infections.Staphylococcus aureus is also a hospital superbug notorious for being resistant to current antibiotics, elevating the pressing need for new medicines.There are lots of studies that identify new antibiotic structures, Kowalski said, “but what was fun and interesting about ours is that we identified (a compound) that...
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Scientists use AI to reveal the neural dynamics of human conversation

New York, (IANS): By combining artificial intelligence (AI) with electrical recordings of brain activity, researchers have been able to track the language exchanged during conversations and the corresponding neural activity in different brain regions, according to a new study.The team from Department of Neurosurgery at Massachusetts General Hospital in the US investigated how our brains process language during real-life conversations.“Specifically, we wanted to understand which brain regions become active when we're speaking and listening, and how these patterns relate to the specific words and context of the conversation,” said lead author Jing Cai in a paper published in Nature Communications.They employed AI to take a closer look at how our brains handle the back-and-forth of real conversations. The team combined advanced AI, specifically language models like those behind ChatGPT, with neural recordings using electrodes placed within the brain.This allowed them to simultaneously track the linguistic features of conversations and the corresponding neural activity in different brain regions.“By analysing these synchronised data streams, we could map how specific aspects of language–like the words being spoken and the conversational context–were represented in the dynamic patterns of brain activity during conversation,” said Cai.They...
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