For most of human history, the patient was the primary witness to their own body — you felt something, you reported it, and a clinician interpreted it. AI is changing that. The body produces data constantly, and AI is learning to read it before the patient feels anything, sometimes before the clinician does. The machine is no longer just a tool. It is becoming a presence in the room: observing, measuring, concluding. Join UVM researchers who are tackling this new world to discuss these topics at ECHO’s first new Café Sci event:

• Bob Gramling records and analyzes thousands of hours of conversations between doctors and dying patients, using AI to find the patterns that make those conversations genuinely human.
• Matthew Price uses phones and wearables to deliver mental health care to trauma survivors in the moments and places traditional care can’t reach.
• Juniper Lovato asks who’s accountable when AI reshapes the stories we tell about ourselves — and who owns the data those stories are built from.
• Chris Danforth, moderating, has spent his career measuring human health through data.

Together, they’re circling the same unsettling question from four different angles: AI is in the room; now what? No slides. No scripts. Just an honest conversation about where all this is heading.

Presented by: ECHO, UVM EPSCoR, Vermont Complex Systems Institute, and aiVermont