Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers.

ABSTRACT: There is an association between smoking and cancer, cardiovascular disease and all-cause mortality. However, currently, there are no affordable and informative tests for assessing the effects of smoking on the rate of biological aging. In this study we demonstrate for the first time that smoking status can be predicted using blood biochemistry and cell count results andthe recent advances in artificial intelligence (AI). By employing age-prediction models developed using supervised deep learning techniques, we found that smokers exhibited higher aging rates than nonsmokers, regardless of their cholesterol ratios and fasting glucose levels. We further used those models to quantify the acceleration of biological aging due to tobacco use. Female smokers were predicted to be twice as old as th

SUBMITTER: Mamoshina P 

PROVIDER: S-EPMC6333803 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature