AI for
Safety Surveillance
AI Development and Dataset Labelling for Safety Surveillance
From dataset design, data labelling and quality checking to developing artificial intelligence models fine-tuned for Safety Surveillance, 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 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 platform
Find out More
Learn more about our AI development approach in our technical white paper Validation and Transparency for AI Systems in Pharmacovigilance.
Check out how biologit MLM-AI uses AI predictions for faster screening workflows in medical literature monitoring of adverse events in pharmacovigilance.