PV Intelligence &
Industry Insights

AI in Pharmacovigilance

Oracle Argus Alternative: Why AI-Native PV Platforms Deliver 248% ROI

Oracle Argus costs $2M+/year with zero AI causality. SafetySignal AI costs $250K and delivers 248% ROI with 3.4-month payback. Here is the full comparison.

Regulatory Science

MedDRA Auto-Coding with AI: 94% Automation Rate Using 5-Strategy NLP

Manual MedDRA coding costs $21 per case. SafetySignal AI achieves 94% auto-coding using exact match, normalized match, partial match, synonym expansion, and PV-7B semantic coding.

Signal Science

Bayesian Signal Detection in Pharmacovigilance: PRR, ROR, IC, and EBGM Explained

SafetySignal AI runs four disproportionality methods simultaneously — PRR, ROR, IC/BCPNN, and EBGM/GPS — to triangulate drug safety signals with multi-method confirmation.

AI in Pharmacovigilance

Why Oracle Argus Cannot Compete with AI-Native Pharmacovigilance

Legacy platforms bolt AI onto existing workflows. SafetySignal builds from the model up — and the difference shows in every causality assessment.

Regulatory Science

Automating ICH E2B(R3) Submissions: The End of Manual ICSR Authoring

E2B(R3) XML generation is largely manual today. SafetySignal automates the full ICSR lifecycle from structured case data to submission-ready XML.

Signal Science

The BRAT Framework for AI: Building the First AI-Native Benefit-Risk Engine

Benefit-risk assessment is one of the most complex judgment calls in regulatory PV. Here's how we encode the BRAT framework into an automated scoring system.

Pharmacovigilance Operations

Signal Prioritization in the Age of AI: Moving Beyond PRR and ROR

Statistical disproportionality methods like PRR and ROR are necessary but not sufficient. Composite priority scoring changes how PV scientists work.

Regulatory Intelligence

CIOMS XIV Compliance Automation: What 94% Really Looks Like

CIOMS XIV sets a new benchmark for AI governance in pharmacovigilance. SafetySignal is the first platform built to comply from day one.

Technology

Building SafetySignal-PV-7B: Fine-Tuning a Language Model for Pharmacovigilance

How we trained a 7.6B parameter model for adverse event causality assessment — and why general-purpose LLMs aren't enough.