AI Risk Management: Approaches and Benefits
Risk management is one of the most valuable quality processes to ensure the continuous improvement of the biologit platform.
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Jack Sullivan
- Sep 21, 2022
- 8 min
Applying Good Machine Learning Practices (GMLP) at biologit
In October 2021 the U.S. Food and Drug Administration in conjunction with Health Canada and the MHRA (UK) released guiding principles on...
Bruno Ohana
- Jul 5, 2022
- 7 min
Delivering AI in Pharmacovigilance: a Survey of Existing Guidance
We survey guidance for implementing AI systems in pharmacovigilance and how biologit used them in MLM-AI
Nicole Baker
- Apr 5, 2022
- 2 min
Automate search and deduplication in MLM-AI with Monitors
Challenges of Medical Literature Monitoring for Pharmacovigilance The medical and scientific literature is an important source of...
Bruno Ohana
- Apr 5, 2022
- 2 min
Towards AI Transparency with Model Factsheets
We are releasing the fact sheet for our adverse event AI model for literature monitoring.
Bruno Ohana
- Apr 5, 2022
- 4 min
Effective Medical Literature Monitoring Workflows with AI
We discuss the features of biologit MLM-AI that apply AI to help pharmacovigilance professionals focus on screening articles that matter
Bruno Ohana
- Apr 5, 2022
- 4 min
Achieving faster literature screening with AI
Medical literature monitoring (MLM) for adverse drug reactions is an important aspect of the pharmacovigilance process and a regulatory...
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