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Machine Learning Discovers Potential new Tuberculosis Drugs

How is Machine Learning helping to develop TB drugs?

 

Many biologists use machine learning (ML) as a computational tool to analyze a massive amount of data, helping them to recognise potential new drugs. MIT researchers have now integrated a new feature into these types of machine learning algorithms, enhancing their prediction-making ability.

Using this new tool allows computer models to account for uncertainty in the data they are testing, MIT researchers detected several promising components that target a protein required by the bacteria that cause tuberculosis (TB).

Although computer scientists previously used this technique, they have not

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