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We just created a much cheaper and more reliable way to build personalized cancer treatments. Instead of relying on an expensive and complicated process, our approach uses AI to analyze each patientโs tumor, identify the mutations most likely to matter, and rapidly design a personalized treatment around those targets. The goal is simple: make personalized cancer treatment faster to develop, cheaper to produce, and accessible to far more people. What once sounded impossible is becoming something we can actually build and scale. Cancer treatment shouldnโt just be personalized. It should be affordable and accessible.