Understanding when—and how much—alcohol has been consumed is essential in both healthcare and forensic contexts. Yet this remains a surprisingly difficult task. Self-reported drinking data can be unreliable due to stigma, impaired memory, or legal consequences. Objective biomarkers such as blood- and breath alcohol concentrations (BAC and BrAC) are widely used, but they decline rapidly, making it difficult to reconstruct past drinking events with precision.
At the same time, slower biomarkers like ethyl glucuronide (EtG), ethyl sulphate (EtS), and urine alcohol concentration (UAC) provide valuable complementary information, but existing approaches rarely combine these data sources in a meaningful, mechanistic way.
In our newly accepted article, “A Digital Twin Framework for Forensic Reconstruction of Alcohol Intake via Fast and Slow Metabolite Kinetics,” we present a solution to this long-standing challenge.
A Unified Physiological Digital Twin
We introduce a physiological digital twin that integrates the kinetics of both fast-acting and slow-acting alcohol biomarkers into a single mechanistic framework. This allows us to:
• Capture the joint dynamics of BAC, BrAC, EtG, EtS, and UAC
• Reconstruct past drinking events with improved temporal precision
• Support forensic evaluations, including scenarios like refuting the hipflask defence
• Enable personalized simulations of alcohol metabolism based on individual physiology
By linking these biomarkers mechanistically rather than statistically, the model leverages the strengths of each marker, improving inference in situations where forensic accuracy is critical.
Improving Forensic Reconstruction
Our digital twin demonstrates clear benefits:
• Higher reconstruction accuracy: Combining markers reduces ambiguity in the timing and quantity of consumed alcohol.
• Robustness for complex scenarios: The model supports analyses requiring fine-grained temporal resolution—something single-marker models struggle with.
• Practical usability: We provide an interactive web tool where users can explore hypothetical drinking scenarios and visualize expected biomarker trajectories.
This tool is designed for forensic analysts, clinicians, toxicologists, and researchers interested in alcohol metabolism and its quantitative reconstruction.
Bridging Clinical, Forensic, and Computational Domains
We see this work as a foundation for precision modelling in alcohol kinetics. By moving toward unified digital twins grounded in physiology, we can support decision-making in healthcare and legal settings with more transparency, reproducibility, and individualized insight.
We’re excited to share this contribution with the community and look forward to continued collaborations around modelling, biomarker research, and forensic applications.
If you’d like to try the interactive simulation tool, feel free to reach out!











