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"Nocebo Effect" and Biosimilars

by Natasha Troy Recently I read a report on the clinical effectiveness of an Infliximab biosimilar used as a switch from Remicade...

Pharmacovigilance Case Studies from the Scientific Literature

At this year's World Drug Safety Conferences in Amsterdam and Boston, biologit presented two case studies detecting relevant safety events f

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...

The use of AI in Biomedical Literature to Identify Antimicrobial Resistance

by Natasha Troy Antimicrobial Resistance: Case study from the scientific literature Antibiotic resistance is ,an inevitable biological...

GVP-VI Guidelines and biologit MLM-AI

Naveen Basar and Bruno Ohana. The Guidelines on good pharmacovigilance practices - module VI is a document issued by the European...

Delivering AI in Pharmacovigilance: a Survey of Existing Guidance

There is continued interest from pharmaceutical companies, solution providers, and academia in improving pharmacovigilance processes with...

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...

Towards AI Transparency with Model Factsheets

We are releasing the fact sheet for our adverse event AI model for literature monitoring.

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