Quantum-inspired AI could tailor patients' cancer treatment to their entire molecular background

For a child with neuroblastoma — the most common childhood cancer, which occurs when early nerve cells grow out of control — the path to treatment is not simple. Some types of neuroblastoma resolve on their own, while others require invasive intervention. Researchers have tried similar treatments for patients based on single-gene mutations with limited success. This is because patients’ outcomes depend on their entire molecular background, which includes millions or billions of features such as DNA and RNA from tissues and blood.

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