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Algorithm personalizes which cancer mutations are best targets for immunotherapy

October 10, 2019

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As tumor cells multiply, they often spawn tens of thousands of genetic mutations. Figuring out which ones are the most promising to target with immunotherapy is like finding a few needles in a haystack. Now a new model hand-picks those needles so they can be leveraged in more effective, customized cancer vaccines.

from Top Technology News -- ScienceDaily https://ift.tt/2VrG8s2

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Scientists found a way to cool quantum computers using noise

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Algorithm personalizes which cancer mutations are best targets for immunotherapy

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