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Biological engineering

MIT researchers utilize Artificial Intelligence to discover a new category of potential antibiotics.

Utilizing deep learning, researchers from the Massachusetts Institute of Technology (MIT) have identified a new class of compounds that effectively kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium responsible for over 10,000 deaths each year in the United States. The compounds have been found to have low toxicity against human cells, a key characteristic for…

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Utilizing AI, scientists from MIT have discovered a fresh category of potential antibiotics.

Using deep learning, a form of artificial intelligence, MIT researchers have identified a new class of compounds capable of killing methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium responsible for over 10,000 deaths annually in the United States. The findings were published in the journal Nature. The compounds exhibited strong activity against MRSA in lab conditions…

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MIT researchers utilize AI to discover a new category of potential antibiotics.

Researchers from MIT have employed deep learning artificial intelligence (AI) to discover a set of compounds capable of exterminating methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium causing over 10,000 deaths annually in the U.S. Published in Nature, the study highlights that these compounds can kill MRSA both in a lab and in two MRSA mouse…

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MIT scientists have harnessed artificial intelligence to discover a fresh set of potential antibiotics.

Researchers from MIT have utilized deep learning, a form of artificial intelligence, to find a class of compounds that can kill drug-resistant bacteria, specifically methicillin-resistant Staphylococcus aureus (MRSA). The significance of their research is that these compounds have low toxicity against human cells, making them suitable candidates for therapeutic drugs. Crucially, the researchers can understand the…

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