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Тоҷикӣ
КыргызчаAI for Biopharma: Clinical Signal Detection & Pharmacovigilance
Use AI to detect safety signals, triage cases, and support pharmacovigilance with compliant, explainable workflows.
Safety surveillance relies on timely ingestion of adverse events, robust signal detection, and evidence for causality. AI can prioritize cases, extract key entities, and surface emerging risks.
Quality: de-dup, causality fields, reporter type, seriousness, region.
Disproportionality (PRR/ROR/EBGM); stratified by age/sex/region.
Temporal scan statistics; trend and burst detection.
LLM summaries with citations for reviewer packets.
Clustering of similar cases to detect patterns.
Build ingestion with entity extraction and normalization to MedDRA/WHO Drug.
Frequently asked questions
How should I regularly monitor and update the information sources used in my simulations?
Run periodic literature/social scans; deduplicate and link to cases.
What governance measures are available within mysimulator.uk to ensure accuracy and compliance?
Governance: audit trails, versioned models/prompts, compliance reviews.
How does mysimulator.uk handle potentially misleading or inaccurate data signals?
False signals: require human review; multiple methods; confidence intervals.
What procedures are in place to protect sensitive patient information and maintain privacy during simulation use?
Privacy: PHI handling, de-identification, region pinning.
▶ Try it live
Everything above runs in your browser — open ECG Simulator — 12-Lead Electrocardiogram and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.