04/17/2026
I woke up today with a feeling of nervousness and excitement. We’re wrapping up the core part of at Stanford University School of Medicine, a three week intensive course using agentic AI and multiomic data to work through complex patient cases. The teams will present their reports, and then continue working with the data and tools over the next couple of months.
I’ve been part of this experience in a very personal way. My own case was one of the ones students worked on, and I was able to join sessions and engage directly with the teams.
What excites me is how differently each group approached the same data. Different tools, different ways of thinking, different conclusions, all evolving over multiple iterations.
For the most part, students were working from data alone. We chose not to include my full medical record, though I shared pieces when needed, most of the information which shared through my patient story.
This course made me think. AI can move through data quickly and generate ideas, but it doesn’t know the full picture, The things not stated in any of the data or medical records.
What's stood out most, were the conversations. Being able to answer questions, add context, and connect the data to real experience.
It makes me wonder how effective AI can really be in complex care if the patient is not part of the process.
Excited to share what comes out of this and how it will help guide conversations with my care team. One thing is clear, if we want AI to actually support patients, they need to be part of the work, and not just the input. 💜