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We evaluate progress in the development of early cancer detection tests in the context of the current principles for cancer screening Ten different classifiers—nine using different cfdna features from three broad and deep prototype mced assays and one using only clinical data (table 2)—were trained to detect a cancer signal and were independently validated (see star methods). Here, we aimed to develop and validate an approach by integrating fragment and genomic features of cfdna to enhance lung cancer detection accuracy across diverse populations.

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