Will AI workflows perform the same across languages? How reliable are machine translations in a scientific and medical context? And what technological leaps can we expect next?   This session features engineers from Google and DeepL—bringing first-hand insights from the forefront of AI innovation in language technologies.

Join us in this webinar to celebrate the release of the new Reference Guide by the AI Academy together, co-authored by leading Medical Information professionals from global pharmaceutical companies and supported by the three major Medical Information associations MILE, phactMI and PIPA, and learn how to prepare and successfully roll-out AI.

Medical Information is evolving rapidly. With the rise of large language models, healthcare professionals and patients increasingly expect content that is instant, accessible, tailored, and dynamic. At the same time, this shift invites a fundamental rethinking of how content is created and maintained today; particularly in light of the significant manual effort required to keep materials up to date in-house. Join this AI Academy webinar where Medical Information leaders, healthcare professionals, and technology designers come together to explore: What will the medical response of the future look like? Together, we will examine how emerging technologies, changing expectations, and new communication formats are reshaping the way Medical Information is delivered and experienced.

Handling a medical inquiry efficiently while maintaining scientific rigor is at the heart of Medical Information (MI) work. In this hands-on tutorial, see how this looks like when AI is integrated into the whole workflow. Claudia Guenoden from Chiesi and PIPA will walk through how they manage an inquiry from start to finish using AI.

Prompting is a foundational skill for Medical Information (MI) professionals who want to use AI effectively, responsibly, and at scale. But how do you move beyond basic experimentation to outputs that are reliable, transparent, and fit for MI standards? In this hands-on tutorial, Prompting 101 for Medical Information, we cover the essentials of machine learning and large language models and show how AI can be applied across MI workflows: from automating repetitive tasks and medical writing to insight generation and knowledge sharing. You’ll learn how to design step-wise prompts that improve accuracy, transparency, and control. We’ll also address critical limitations such as hallucinations and black-box behavior, and why heightened caution and human oversight are essential in MI. Throughout the session, we emphasize one core principle: AI augments experts, it does not replace them. Participants will leave with a practical prompt guide tailored specifically for Medical Information.

AI opens new opportunities but also raises important questions about responsible copyright handling in Medical Information. We will outline the current state, discuss future perspectives, and share a case study.

Explore how AI is changing the game in literature screening, study classification, and evidence synthesis. We’ll examine what’s possible today, what still needs human oversight, and how to integrate AI into systematic processes without compromising quality.

We’ve heard it all before - AI will transform Medical Affairs, making processes faster, engagement smarter, and compliance easier. But let’s be real - how many organizations have actually seen these results? AI adoption has been slow and riddled with challenges. Is AI still just a theoretical advantage, or can organizations finally unlock AI’s full potential? In our webinar, we uncover what’s missing. Here you'll find the recording of the panel discussions with members of MILE, AVAYL and MSLS on the insights from our latest position paper: - How AI is shaping the future of Medical Affairs - Practical use cases demonstrating AI’s impact across data analysis, literature reviews, and scientific communication - The challenges of implementing AI in regulated environments - and how to overcome them - A forward-looking vision for the future Medical Affairs organization