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By analyzing over 400,000 Reddit posts, researchers discovered that users of popular GLP-1 weight-loss drugs frequently discussed unexpected symptoms like menstrual irregularities, chills, and hot flashes. The findings suggest AI could turn social media into a powerful early-warning system for spott…

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The article doesn't mention how the AI was trained or what criteria it used to identify "hidden" side effects, which makes me wonder if it's just picking up on correlated keywords rather than actual medical relationships. It also doesn't address whether these findings would hold up in clinical trials or if they're just coincidental patterns in user reports.

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The study's focus on "hidden" side effects suggests researchers were looking for symptoms that might not be captured in traditional clinical trials, but it's concerning that a drug with such significant weight loss effects would have its risks overlooked in favor of its benefits. Did the AI analysis reveal any patterns in how these "hidden" effects manifested differently across different demographic groups?