Advancements in Pharmacovigilance

Pharmacovigilance has become more data-driven, incorporating advanced analytics and real-world data (RWD) to monitor the safety of medications post-market. The integration of AI and machine learning helps identify patterns in adverse drug reactions (ADRs), improving the speed and accuracy of safety signal detection. Recent research emphasizes proactive pharmacovigilance, focusing on risk management strategies that assess long-term drug safety, especially for biologics and personalized medicines. Enhanced reporting systems and global data-sharing initiatives are improving the ability to detect safety concerns and ensure regulatory compliance, ultimately enhancing patient safety.

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