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A machine-learning classifier based on metagenomic signatures effectively identified EC users, including those who use ECs alone or alongside cigarettes, raising concerns about the safety of ECs and challenging harm reduction claims [62]

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As a high school sophomore, he said it was the hardest thing he has ever done, but also one of his proudest accomplishments

Leaving aside the 15-24 year old group (high quit rates may reflect frequent cycling between smoking and being quit in this age group), there was a seven fold variation in quit rates from 28% among 25-34 years to less than 4% among over 75 year olds

However, there is still much uncertainty, as this issue has not yet become a priority for the government

Producer:Arny Schorr