Algorithm personalizes which cancer mutations are best targets for immunotherapy

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.

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Virtual review of cancer clinical trial treatment options quicker than conventional method

Using virtual, cloud-based, interconnected computing techniques applied to 51,000 variables, researchers reduced the time needed to assess a cancer patient's tumor profile and suitability for clinical trials from 14 to 4 days. This method also increased two-fold, over a four-year period, the number of cases that could be assessed compared to conventional methods.

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