University at Buffalo Research Center Utilizes AI to Combat Addiction, Emphasizing Community Engagement
The University at Buffalo (UB) Center for Addiction and Artificial Intelligence Research (CAAIR) is actively employing AI and machine learning to address the complex challenges of substance use disorders. CAAIR combines community engagement with interdisciplinary pilot studies to ensure the responsible and equitable application of AI in addiction research, treatment, prevention, and recovery. An inaugural project, led by research scientist Chi-Hua (Richard) Lu, will use machine learning to identify patterns in polysubstance use from large healthcare datasets, aiming to personalize treatment approaches. Another study, led by Md Mohaimenul Islam, will investigate whether GLP-1 receptor agonist medications can reduce alcohol-related health events, using AI to identify optimal patient beneficiaries and ensure equitable outcomes across diverse populations.