Detecting Cognitive Impairment using Large Language Models from Speech

The project applies large language models to identify early cognitive decline and Alzheimer’s disease from speech.

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Led by Dr. Hualou Liang at Drexel University, this project uses large language models to analyze speech patterns for early detection of cognitive impairment and Alzheimer’s disease. It seeks to validate this approach in a larger and more diverse population, including older African Americans who are at increased risk but often underdiagnosed. The collaboration with Thomas Jefferson University brings together clinical and computational expertise to advance scalable, affordable tools for early detection.

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