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The Role of NLP in Automating Case Intake for Pharmacovigilance
Discover how Natural Language Processing (NLP) is transforming pharmacovigilance by automating case intake, improving data accuracy, boosting efficiency, and enabling real-time drug safety monitoring.
Chaitali Gaikwad
May 144 min read
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Generative AI for ICSR Detection: Revolutionizing Adverse Event Identification
Generative AI for ICSR Detection: Revolutionizing Adverse Event Identification.
Chaitali Gaikwad
May 144 min read
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Automating Literature Review: Reducing Workload and Increasing Compliance
Automating literature review in pharmacovigilance boosts efficiency, reduces workload, and enhances compliance using AI-driven tools—ensuring faster, more accurate drug safety monitoring.
Chaitali Gaikwad
May 135 min read
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AI-Powered Case Intake: Faster, More Accurate, and More Efficient
AI-powered case intake streamlines pharmacovigilance by automating data extraction and processing, improving accuracy, reducing manual effort, and accelerating drug safety reporting efficiency.
Chaitali Gaikwad
May 124 min read
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