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Despite the increase in use of e-cigarettes among adolescents, cigarette and smokeless tobacco prevalence declined more rapidly between 2012 and 2019 than in previous periods, according to a new study.
Researchers can use this model to identify pre-clinical systems or potential treatments for multiple cancer types.
The University of Michigan’s OncCOVID app draws on global cancer and coronavirus data to create an individualized mortality risk assessment for receiving immediate versus delayed cancer treatment.
Associate professor of Epidemiology Rafael Meza was recently featured on "Lung Cancer Considered," a podcast produced by the International Association for the Study of Lung Cancer. The episode highlights Meza's recent study on smoke cessation programs and lung cancer screening.
Programs that help smokers kick the habit along with existing lung cancer screening efforts could reduce lung cancer mortality by 14% compared with screening alone, according to a new study.
Changing the way individuals are selected to be screened for lung cancer, by considering their probability of getting or dying from lung cancer calculated from risk-prediction models, could prevent 14% of lung cancer deaths per year.