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With thousands of products going up monthly, traditional manual coding methods simply cant keep up. The use of AI to capture and rapidly analyze e-cigarette data has the potential to transform how the tobacco product landscape and trends are monitored and understood

Messages that challenge smokers temporal perspectives might be more likely to affect how they assess the gains and losses of smoking, and their ability to rely on self-exempting beliefs [45]

Public health efforts to further reduce smoking have recently included very low nicotine content cigarettes, which contain about 95% less nicotine than conventional cigarettes

This data is urgently needed to adequately inform the public about CMSS-associated PM exposure and the related health risk especially for passive smokers