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Apr 10, 20233 min read

Feature Spotlight: Teams Work Together in biologit MLM-AI

biologit MLM-AI is a literature monitoring platform that makes it easy for safety surveillance teams of all sizes to work together and...

Nov 10, 20225 min read

"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...

Oct 11, 20222 min read

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

Sep 21, 20228 min read

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...

Aug 31, 20229 min read

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...

Aug 25, 20227 min read

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...

Jul 4, 20228 min read

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...

Apr 5, 20222 min read

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...

Apr 5, 20222 min read

Towards AI Transparency with Model Factsheets

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