A deep learning model for identifying disease and risk factor biomarkers

Mika Gustafsson and David Martínez hope that AI-based models could eventually be used in precision medicine to develop treatments and preventive strategies tailored to the individual. Artificial intelligence, AI, which finds patterns in complex biological data could eventually contribute to the development of individually tailored healthcare. Researchers at LiU have developed an AI-based method applicable to various medical and biological issues. Their models can, for instance, estimate people's chronological age and determine whether they have been smokers or not. Genes play an important role in health, but so do environmental and behavioural factors, such as diet and level of physical activity.