Researchers unveil digital ‘alcohol twin’ to predict drinking risks and guide personalized interventions

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Digital twin model simulates real-life alcohol consumption patterns and links them to long-term biomarkers, aiding eHealth strategies to curb dangerous drinking habits. The model captures complex physiological interactions between food, beverages, and alcohol metabolism.