from Scientific Reports
In case you had doubts, the age of artificial intelligence is here. A company called Insilico in Rockville, Maryland has been applying artificial intelligence to aging research and publishing results in peer review journals. The latest, in Scientific Reports, set out to determine biological age differences between smokers and nonsmokers. Blood biochemical markers of nearly one hundred fifty thousand adults were analyzed, through artificial intelligence or computer learning. The result? Both male and female smokers were predicted to be twice as old as their chronological age compared to nonsmokers. The research also suggests that deep learning analysis of routine blood tests could replace less reliable methods of determining smoking status.