The study, “Deep Reinforcement Learning–Driven Multi-Omics Integration for Constructing gtAge: A Novel Aging Clock from IgG N-glycome and Blood Transcriptome,” is published in Engineering.

A team from ECU, together with researchers from Royal Prince Alfred Hospital in Sydney and Shantou University Medical College in China, has studied elements in the blood that change with age, specifically the IgG N-glycome, which refers to sugar structure attached to antibodies, as well as a snapshot of gene activity within blood cells, called transcriptome.

By combining these two sets of data using an artificial intelligence (AI) technique called Deep Reinforcement Learning, the researchers created a new aging clock called gtAge.