Apr 10th, 2026
Multilingual Literature Monitoring in Pharmacovigilance: Bridging the Language Gap
Pharmacovigilance teams face increasing pressure to detect and report safety signals quickly and accurately. While quantitative methods like disproportionality analysis help flag potential signals, regulatory expectations now demand a thorough…
Jul 18th, 2024
10 Ways AI-Powered Literature Monitoring Boosts Productivity
In the world of safety vigilance, the meticulous task of literature surveillance is crucial for ensuring patient safety and health…
Feb 8th, 2024
Five Reasons to Adopt an AI-Powered Literature Surveillance Solution for Pharmacovigilance
In the rapidly evolving landscape of pharmacovigilance (PV), ensuring patient safety and health outcomes is non-negotiable. With the surge in…
Nov 29th, 2023
Power your Literature Surveillance with AI-driven Automation
In the highly regulated landscape of pharmacovigilance (PV), ensuring patient safety and health outcomes is paramount. With increasing focus on…
Sep 14th, 2023
Mastering PV Literature Surveillance: How Datafoundry’s Literature Monitor Tackles the Complexity of Adverse Event Identification
Identifying adverse events from medical literature is one of the key tasks in pharmacovigilance (PV). It is also one of…
Aug 24th, 2023
Optimizing Pharmacovigilance Literature Search: Automated Multi-Source Articles Import
In the fast-evolving landscape of pharmacovigilance, staying ahead of potential adverse events (AEs) and ensuring patient safety is paramount. Manual…
May 9th, 2022
Automation of Literature Monitoring for pharmacovigilance
The drug development process for hit-to-lead molecules relies inevitably on the knowledge of adequate In drug development process, the hit-to-lead…
Nov 18th, 2021
AI-assisted Literature Monitoring and Review
It is estimated that top pharma companies and research institutions commission around 20 literature review projects each on an average…
Nov 18th, 2021
Understanding Literature Monitoring in Pharmacovigilance – The importance, challenges and role AI can play
The term ‘literature monitoring’ refers to the process by which adverse events or new drug efficacy data are detected in…