Machine learning algorithms could predict breast cancer treatment responses

Different patients with the same type of cancer can have different responses to the same medication, which leaves doctors in a tough spot: how do they know which treatment will have the best response? If they get it right, their patient may enter remission; but if they’re wrong the patient’s health will deteriorate. Now researchers at Western University might have the answer. They developed machine learning algorithms – a branch of artificial intelligence – that crunch genetic data to determine the most likely treatment response and allow more personalized treatment regimens. “Artificial intelligence is a powerful tool for predicting drug outcomes because it looks at the sum of all the interacting genes,” said lead researcher Peter Rogan. “The earlier we treat a patient with the most effective medication, the more…


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