Large language models show potential in understanding and analyzing health-related data (arxiv.org)

Summary:

• Large language models can be tuned to understand physiological and behavioral time-series data.
• These models can make meaningful inferences on health tasks like cardiac signal analysis, physical activity recognition, and mental health screening.

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