デジタルツインで飲酒量を高精度推定(Digital twin could reveal alcohol consumption in crime cases)

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2026-04-29 リンショーピング大学

リンショーピング大学の研究チームは、犯罪捜査におけるアルコール摂取の有無を推定するための「デジタルツイン」技術の可能性を示した。人体の生理反応や代謝プロセスを数理モデルとして再現し、血中アルコール濃度の時間変化をシミュレーションすることで、過去の飲酒状況を推定できる可能性がある。これにより、従来は困難だった事後的な飲酒証明に新たな手法を提供する。今後は精度向上や法的適用の検討が必要だが、法医学や交通事故解析への応用が期待される。

<関連情報>

高速および低速代謝物の動態解析によるアルコール摂取の法医学的再構築のためのデジタルツインフレームワーク A digital twin framework for forensic reconstruction of alcohol intake via fast and slow metabolite kinetics

Henrik Podéus,Christian Simonsson,Gerd Jakobsson,Robert Kronstrand,Elin Nyman,William Lövfors & Gunnar Cedersund
Scientific Reports  Published:18 March 2026
DOI:https://doi.org/10.1038/s41598-026-44093-4

デジタルツインで飲酒量を高精度推定(Digital twin could reveal alcohol consumption in crime cases)

Abstract

Accurately determining the timing and/or amount of consumed alcohol is critical in healthcare and forensic contexts, yet self-reported data are often unreliable due to stigma and legal implications. Objective biomarkers are therefore essential. Commonly used markers such as blood- and breath alcohol concentrations (BAC, BrAC) decline rapidly, limiting their utility for reconstructing drinking scenarios. Such reconstructions are essential for legal assessments, including refuting the “hipflask” defence. Markers with slower kinetics, such as ethyl glucuronide (EtG), ethyl sulphate (EtS), and urine alcohol concentration (UAC) provide complementary temporal information; however, current approaches fail to fully exploit available data. Here, we introduce a unified physiological digital twin that mechanistically integrates BAC, BrAC, EtG, EtS, and UAC within a single framework. This model captures the joint dynamics of rapid- and slower markers, enabling personalized simulations of alcohol intake and metabolism. We show that this integrated approach substantially improves reconstruction of past drinking events and supports complex forensic assessments requiring high temporal precision. To ease practical application, we provide an interactive web tool that allows users to evaluate hypothetical drinking scenarios and visualise individualized biomarker trajectories. Our work establishes a foundation for precision modelling of alcohol kinetics, bridging gaps between clinical, forensic, and computational domains.

医療・健康
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