Digital Twin Model May Improve Alcohol Intake Reconstruction

Integrated biomarker framework supports evaluation of drinking scenarios in forensic settings

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

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