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Machine learning analysis of proteomic data has already identified protein signatures predicting smoking status with 8590% accuracy (Lung Cancer Cohort Consortium (LC3) 2023)

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Lots which bear defects or damage not visible because of framing may not be returned because of hidden damage

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The FDA has also begun exploring a product standard for e-cigarettes to help address existing concerns

Cigarette butts, a threat for marine environments: Lessons from benthic foraminifera (Protista)