AI in pharma: talks for medical audiences and leaders

As a physician and an active founder, I connect clinical work with the decisions involved in building AI systems. For a pharmaceutical event, that combination is especially useful when internal functions and a medical audience bring different questions to the same development.

A shared starting point across functions

Medical affairs, commercial teams and executives use the same tools for different tasks. The talk examines how the eventual use of an output determines the assignment, source requirements and assessment criteria. Ownership and approval are part of that workflow description.

A perspective for clinical audiences

For medical events, the focus is on changes to tasks, responsibility and the professional identity of experienced clinicians. I connect research findings with questions from AI implementation, keeping the scope and limitations of each study visible.

From a draft to usable information

Accessible examples show how source access, checks for omissions and explicit uncertainty support work with AI outputs. In our preparation conversation, we identify situations from your working environment that would make the discussion useful.