Natural History Studies: Selecting the Right Delivery Method
The rise in rare diseases and personalized medicine has heightened the need to understand natural history and treatment pathways for unique patient populations.
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The rise in rare diseases and personalized medicine has heightened the need to understand natural history and treatment pathways for unique patient populations.
This article explores how AI and signal integration can modernize publication planning, enable more strategic journal selection, and enhance publication impact.
The Learning Objectives for this podcast are to understand the scope and requirements of the main privacy laws and regulations, covering data types and processing activities including collection, usage, data retention, subjects’ rights and much more. This podcast also considers the risks and practical application of the regulations in the conduct of various Medical Affairs activities.
As healthcare continues to evolve, broadening Medical Affairs engagement from prescribers to the full ecosystem of healthcare partners is no longer optional, but essential for treatment success.
In this podcast episode, our experts dive into the importance of storytelling in scientific communication, emphasizing the need to balance creativity with accuracy and personalize content for different audiences.
In this “Elevate” episode, our hosts Jennifer Riggins & Steve Casey speak to a panel of experts on the frontlines of GenAI implementation to share their hard-won insights.
In this podcast episode, our experts dive into the importance of storytelling in scientific communication, emphasizing the need to balance creativity with accuracy and personalize content for different audiences.
This podcast will provide an overview of results of a poster presented at MAPS Americas in 2025. The title of the poster was “One Team, One Voice: The Impact of Centralized Medical Content Development” and includes results from a survey that was conducted to better understand Medical Affairs (MA) professionals’ strategies for medical content development, utilizing centralized versus decentralized medical content creation, and assess the adoption of structured authoring and AI-enabled solutions to improve scalability, consistency and efficiency in medical content development.
