In this on-demand webinar, our experts provide guidance and potential solutions on addressing major barriers for patient centricity initiatives identified through their survey.
This webinar provides a holistic overview of the implications of updates by the Good Publication Practice (GPP) and by the International Committee of Medical Journal Editor’s Recommendations for Medical Affairs professionals.
Join this webinar to learn how MSLs play a crucial role in delivering the latest scientific information to KOLs..
This Webinar series explores the fundamental concept of big data in Medical Affairs, from which sources can we retrieve this, what are the broader considerations when utilizing data in health and what impact this can have on our organizations, physicians, and patients, now and in the future.
This on-demand webinar focuses on practical ways to optimize your partnerships with compliance to ensure successful approval and launch of novel channels.
This white paper addresses insights challenges in Strategy, Data Generation, and Analysis/Reporting – arming Medical Affairs teams with the tools and opportunity to build strategies that preempt these challenges.
In this on-demand webinar, experts discuss how to understand the difference between the theoretical potential of generative AI and real applications Medical Affairs can leverage now.
The combined impact of treatment complexity and data availability highlights the value of Medical Affairs departments that have the capability to make clinical sense of new disruptive drugs, devices, real-time monitoring and diagnostics. Here, the MAPS Executive Consortium describes how.
This paper provides a vision describing how Gen AI technologies will reshape the possibilities and practice of Medical Affairs related to the four functional pillars of Strategy & Leadership, Evidence & Insights Generation, Evidence & Insights Communication, and Engagement & Partnerships.
Thank you MAPS Partner Circle members for sharing use cases that bring to life MAPS’ Vision for Generative Artificial Intelligence in Medical Affairs.