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.