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Blood is collected from a population of individuals, some of whom have cancer. Then, cfDNA is extracted from plasma and subjected to single-molecule sequencing using massively parallel sequencing approaches. Sequence alterations are used to obtain genome-wide mutation profiles, and regional differences in cancer and non-cancer mutation frequencies are identified using machine learning to distinguish individuals with and without cancer.

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