When AI Lies About Your Drug: The Pharma Guide to Monitoring Efficacy Hallucinations in ChatGPT, Gemini, and Claude
In late 2023, a patient with type 2 diabetes asked ChatGPT whether semaglutide could eliminate the need for insulin entirely. […]
In late 2023, a patient with type 2 diabetes asked ChatGPT whether semaglutide could eliminate the need for insulin entirely. […]
In 2023, a patient asked ChatGPT whether she could take Eliquis with ibuprofen. ChatGPT told her the combination was generally
There’s a quiet pattern in drug questions that shows up again and again: not “does it work?” but “what will
There’s a strange thing that happens in antidepressant discussions: everyone talks about the start (the “it finally kicked in” moment),
Nobody switches drugs because they want to. They switch because something stops working. If you strip away the clinical jargon
When a patient asks ChatGPT whether they should take Ozempic or Wegovy, they are not reading your brand’s prescribing information,
The medical science liaison had just finished a physician meeting when the rep on the account pulled out his phone.
A hospitalist in Cleveland needs to know the renal dosing adjustment for a patient on apixaban with a creatinine clearance
Clinical trials are tidy. Patients are not. In papers, drugs are taken on schedule, at fixed doses, with carefully controlled
Side effects, safety signals, and the uncomfortable gap between “works” and “well tolerated” Drug development has a habit of looking
A quiet tour through how drugs escape their instructions—and what that says about modern demand There’s a peculiar irony in
Before a drug problem reaches the FDA, it travels through the internet. A cluster of patient forum posts. A Reddit