A digital twin model can evaluate reported alcohol consumption against observed biomarker patterns, aiding in health care and forensic settings.
2
The model integrates multiple biomarkers, including BAC and EtG, to improve the accuracy of alcohol intake reconstruction.
3
Validation of the model was limited to a single drinking scenario, highlighting challenges in generalizing findings to diverse drinking patterns.
4
The model serves as a decision-support tool, assessing the plausibility of alcohol consumption claims rather than providing definitive reconstructions.
5
Practical limitations include the need for detailed input data and the model's incomplete representation of individual biomarker variability.
