tooluniverse-adverse-event-detection
bymims-harvard· 57 skills
Detect and analyze adverse drug event signals using FDA FAERS reports, drug labels, and disproportionality statistics (PRR, ROR, IC). Generates quantitative safety signal scores (0-100) with evidence grading. Use for post-market surveillance, pharmacovigilance, drug safety assessment, regulatory submissions, and detecting rare AE signals not visible in clinical trials.
How to install tooluniverse-adverse-event-detection?
mims-harvard/tooluniverse/tooluniverse-adverse-event-detection
$npx -y skills add mims-harvard/tooluniverse --skill tooluniverse-adverse-event-detectionInstalls into the current project.
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Run `npx skills use "https://github.com/mims-harvard/tooluniverse" --skill "mims-harvard/tooluniverse/tooluniverse-adverse-event-detection"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mims-harvard/tooluniverse" that are relevant to the current task. Run `npx skills add "https://github.com/mims-harvard/tooluniverse"` and select the relevant skills, then follow their instructions.
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