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
The post Machine Learning Discovers Potential new Tuberculosis Drugs appeared first on World Consulting Group.
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