New study shows smoking accelerates aging

Researchers have used AI to show that smoking accelerates aging. Insilico Medicine, one of the leaders in artificial intelligence for drug discovery, biomarker development, digital medicine, and aging research, has announced the publication of a new collaborative research paper titled "Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers" in the journal Scientific Reports. Smoking has long been proven to negatively affect people's overall health in multiple ways. This new study by Insilico set out to determine biological age differences between smokers and non-smokers, and to evaluate the impact of smoking using blood biochemistry and recent advances in artificial intelligence. Employing age-prediction models developed by supervised deep learning techniques, the study analysed a number of biochemical markers, including measures based on glycated haemoglobin, urea, fasting glucose and ferritin.