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Aug 17th, 2022

AI in Pharmacovigilance: Need, Opportunities and Challenges 

Pharmacovigilance is the practice of protecting public health by detecting, assessing, and managing potential adverse […]

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May 9th, 2022

Automation of Literature Monitoring for pharmacovigilance

Introduction:  The drug development process for hit-to-lead molecules relies inevitably on the knowledge of adequate […]

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Apr 5th, 2022

Use of Artificial Intelligence and Machine Learning for Safety Signal Management  

The Drug Safety and Clinical Data Quality Act is a U.S. law that is meant to provide the FDA with…

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Mar 3rd, 2022

The Changing Landscape of Pharmacovigilance Technologies

Modern technology solutions for Pharmacovigilance are required to solve the emerging needs in the area  […]

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Jan 31st, 2022

An integrated approach to pharmacovigilance

The pharmaceutical market is highly regulated, and any misstep can lead to product recall that […]

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Nov 18th, 2021

AI for Drug Safety Case Processing

The Drug Safety and Clinical Data Quality Act is a U.S. law that is meant to provide the FDA with…

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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…

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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…

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