Learn how to distinguish between class-wide and drug-specific safety alerts in medications. Understand the evidence behind FDA warnings and avoid common mistakes that affect patient care.
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Drug safety signals reveal hidden risks that clinical trials miss. Learn how real-world data, statistical tools, and regulatory systems uncover dangerous side effects after a drug is approved.
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Machine learning is transforming how drug safety teams detect adverse reactions, using AI to spot hidden patterns in massive datasets. Learn how GBM models outperform traditional methods and what’s next for pharmacovigilance.
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