Teaching machines to execute precision medicine drives UT research


Humans learn from their past experiences and machines follow instructions given by humans. But what if we could train machines to learn from their past data given to them by us and enabling them to do what we can do at a much faster pace?

This is what machine learning is about. Using different processes called algorithms, you can train a learning model some sample data, called training data. Once this model is trained, it can predict and make decisions for real sets of real data, called testing data, without having you to tell it again what to do.

The uses of machine learning are increasing day by day and its usefulness in biomedical research is reaching new heights.

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Story excerpt provided by The Blade.

Written by Sachin Aryal.

Originally published April 5, 2021.

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