Novel machine-learning algorithm creates atlas of cancer with potential as universal diagnostic platform

In the first broad comparison of pediatric and adult cancer, researchers at The Hospital for Sick Children (SickKids) have analyzed 13,000 individual cancers and built an “atlas” of pediatric cancer using a novel machine-learning algorithm.

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