AI for 

ai pharmacovigilance
Labeling Pharmacoviglance

AI Development and Dataset Labelling for Pharmacovigilance

From dataset design, data labelling and quality checking to developing artificial intelligence models fine-tuned for Pharmacovigilance and Clinical Safety, our team follows an agile multi-disciplinary approach that delivers cost-effective and validated solutions to suit your needs.

Custom AI models built from the ground up with Pharmacovigilance experts. Best practices from regulatory guidance are built into our processes

Validated and GxP compliant practices for data labelling and quality checking

For custom use or integration into the biologit MLM-AI literature platform

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Validation and Transparency

Learn more about our AI development approach in our technical white paper Validation and Transparency for AI Systems in Pharmacovigilance.

Ai predictions

Check out how biologit MLM-AI uses AI predictions for faster screening workflows in medical literature monitoring of adverse events.

Get in Touch

Contact us to learn more about how we use artificial intelligence to deliver faster, accurate and high quality literature screening for Pharmacovigilance and Clinical Safety.

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