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Researchers from the University of Cambridge have used artificial intelligence (AI) to accelerate the search for treatments for Parkinson's disease. Using machine learning, they were able to quickly screen millions of compounds in a chemical library and identify five highly potent ones that can block the clumping of the protein alpha-synuclein. This process, which normally takes months or years, was sped up by ten-fold and cost reduced by a thousand-fold using AI. The breakthrough could lead to the development of effective treatments for Parkinson's more quickly, benefiting the millions of people worldwide affected by the disease.
By Dr. Tony Hoang4.6
99 ratings
Researchers from the University of Cambridge have used artificial intelligence (AI) to accelerate the search for treatments for Parkinson's disease. Using machine learning, they were able to quickly screen millions of compounds in a chemical library and identify five highly potent ones that can block the clumping of the protein alpha-synuclein. This process, which normally takes months or years, was sped up by ten-fold and cost reduced by a thousand-fold using AI. The breakthrough could lead to the development of effective treatments for Parkinson's more quickly, benefiting the millions of people worldwide affected by the disease.

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