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A new artificial intelligence model developed by researchers at The University of Texas at Austin paves the way for more effective and less toxic treatments and new preventive strategies in medicine.

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More than a million people each year die from infections by pathogens that are resistant to antimicrobials, and the problem is growing. Meanwhile, the discovery of new antimicrobials that can help stem the tide has not kept pace.

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A team of researchers, led by folks at the University of Texas at Austin, believe they’ve found an antibody that protects against all COVID-19 variants. Antibodies attach themselves to the spike protein of a virus, preventing infection, the university explained.

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Researchers have discovered an antibody able to neutralize all known variants of SARS-CoV-2, the virus that causes COVID-19, as well as distantly related SARS-like coronaviruses that infect other animals.

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AI is transforming the way scientists design cancer drugs and vaccines, study how stars form, translate brain activity into speech and turn pollution into useful products.

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Protein large language models identify ways to make antibiotics better at targeting dangerous bacteria, without being toxic to humans.

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Jason McLellan has been named the recipient of the International Vaccine Institutes Bioscience Park MahnHoon Award for his role in the development of numerous vaccines.

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Biomedical researchers from The University of Texas at Austin have developed a new, less expensive way to detect nuclease digestion – one of the critical steps in many nucleic acid sensing applications, such as those used to identify COVID-19 and other infectious diseases.  

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Drug candidate developed by Everett Stone and his team is effective in mice with cancers of skin, bladder, blood and colon.

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Every year, millions of people become sickened by RSV, and more than 100,000 die. New vaccines with a connection to UT Austin may help turn those numbers around.