Personalizing Recovery: The Data-Driven Approach

A recent study sponsored by the NIAAA explored the use of machine learning in tailoring treatments for Alcohol Use Disorder (AUD). By analyzing drinking behaviors, researchers identified three distinct clusters—mild, moderate, and severe—that could lead to personalized treatment strategies, enhancing effectiveness. This innovative approach not only aids clinicians in decision-making but also highlights significant sex-specific differences in drinking patterns, emphasizing the need for individualized care in recovery processes.
Source: https://onlinelibrary.wiley.com/doi/10.1111/adb.70069?af=R

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