Pre-Med Track · Inaugural Summer 2028
Capstone agent · Build clinical AI.
I built an AI agent that takes patient intake, summarizes for the attending, and flags red flags.
What your child will build
An agentic system that takes a patient's chief complaint, walks through structured follow-up questions, retrieves the relevant clinical guidelines, and produces a draft History and Physical note for the attending to refine.
What it does
Co-Teaching Faculty
Practicing resident · Northwestern Feinberg
Our pre-med track is co-taught by a working medical resident — recruited from Northwestern Feinberg, Loyola Stritch, or another leading academic medical center — alongside a senior software engineer. Your child works directly with a physician-in-training who has shipped clinical workflows in real hospital settings, and who can speak to where AI fits ethically and safely into patient care today. The mentor relationship continues past the program: pre-med students who perform well receive a personal letter of recommendation and direct introductions into the broader practitioner network.
“Students leave understanding what an attending actually wants from a draft note — and what AI should never decide alone.”
Curriculum Deep-Dive
The pre-med cohort splits off from the shared Week 1 foundations and works directly with the medical resident on the data, workflows, and ethical guardrails unique to clinical AI.
Week 1 foundations are shared across all 5 tracksWeek 3 builds + admissions coaching
Sample student work
Sample capstone projects illustrating the scope of Pre-Med work. Inaugural cohort is Summer 2028 — these are not real-alumni outcomes.
Sample student work — Aiden L. (rising 11th)
Built an agent that takes a patient's chief complaint, asks five branching follow-up questions, and produces a draft note flagging acute findings for the attending. Designed against an open clinical-guidelines corpus — never against protected health information.
Sample student work — Priya M. (rising 12th)
Built an agent that reviews a primary-care visit summary and recommends a specialty referral with rationale, citing the guidelines that drove the routing decision. Tested across 50 synthetic patient histories with a human-reviewed evaluation rubric.
Why this track wins for admissions
An admissions reader at a top medical-track university — BS/MD, BS/DDS, or biology with a clinical-research focus — is looking for the rare applicant who can articulate, in their own words, what the practice of medicine actually requires of an AI system. Most strong pre-med applicants present community service, lab experience, and shadowing — all important, all common. Far fewer can sit across from a physician interviewer and discuss the design tradeoffs in patient-intake automation, the ethics of model uncertainty in triage, or what a working H&P workflow looks like inside an electronic health record. Your child finishes the program with a working clinical-intake agent at a personal URL, an architecture writeup an admissions reader can verify, and a Common App essay built around the project — a piece of writing that makes their interest in medicine specific, technical, and verifiably their own.
Talk through your child’s admissions strategy
Pre-Med FAQ
Pre-Med · Selective by design
Selective admissions. We expect a 40 to 60 percent admit rate. Rolling applications through Spring 2028.