Signal detection in #pharmacovigilance involves collecting and analyzing data from various sources, including spontaneous adverse event reports, clinical trials, electronic health records, and literature. Techniques such as disproportionality analysis, Bayesian data mining, and automated tools are used to identify unusual patterns or trends in adverse events. Detected signals undergo further validation through clinical review, epidemiological studies, and causality assessments, often involving expert and regulatory input to determine their significance and ensure drug safety.
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