Our work “A physiologically-based digital twin for alcohol consumption—predicting real-life drinking responses and long-term plasma PEth“, has now been published in npj Digital Medicine.
In this manuscript we establish a mathematical model describing short-term alcohol dynamics, with or without simultaneously eating. We then go on to use this short-term model to make predictions about the appearance of the long-term alcohol marker Phosphatidylethanol (PEth). PEth has shown promise in monitoring alcohol consumption and by utilizing modelling the predictive ability of one’s drinking habits could be improved. Further, these predictive capabilities could make PEth-testing feasible in cases of liver diseases, such as MASLD.
You can read the article at: https://www.nature.com/articles/s41746-024-01089-6
