18th January 2019 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. According to the study's results, smokers demonstrated a higher aging ratio, and both male and female smokers were predicted to be older than their chronological age compared to non-smokers. However, these differences plateaued after 55 years of age. These results were based on the blood profiles of 149,000 adults.
Other findings suggested that deep learning analysis of routine blood tests could replace the current unreliable method of self-reporting of smoking status and evaluate the influence that other lifestyle and environmental factors have on aging. "I am pleased to be part of the research study, which provides fascinating scientific evidence that smoking is likely to accelerate aging. Smoking is a real problem that destroys people's health, causes premature deaths, and is often the cause of many serious diseases. We applied artificial intelligence to prove that smoking significantly increases your biological age," said Polina Mamoshina, a senior research scientist at Insilico Medicine.
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