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"AI in Medical Affairs: Confidence Without Compromise"

Join this live webinar to learn more.

How can Medical Affairs teams use AI to keep up with increasing literature reviews, evidence requests, and scientific inquiries—without compromising accuracy, compliance, or insight quality?

This fireside chat brings together Núria Negrão, PhD (AI Adoption Strategist) and Jill Shuman, MS, ELS (Library & Copyright Specialist, Digital Science) to explore realistic, high-value AI use cases grounded in the day-to-day work of MA teams. They’ll address core challenges—keeping up with information overload, reducing manual review time, and producing clear, reliable insights for internal stakeholders. 

Join us to learn how AI can ease data-management burdens and improve scientific communication, without replacing expert oversight or compromising quality.

We’ll cover:

• How AI can support literature review, evidence synthesis, and scientific inquiry responses—while keeping scientific oversight firmly in human hands
• Examples of AI being used today to reduce repetitive work in Medical Information and MA workflows
• Ways to reclaim time for higher-value work like insight development and stakeholder engagement, without increasing compliance risk

Who should attend:
Medical Affairs, Medical Information, MSLs, and medical librarians.

Offered Free by: Digital Science
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