Winter Quarter – Academic Year 2025/2026
| **Instructors
Course Manager** | Vishnu Ravi, MD Paul Schmiedmayer, PhD Aydin Zahedivash, MD, MBA Santiago Gutierrez Oliver Aalami, MD Carlos Guestrin, PhD
Meghana Nerurkar | | --- | --- | | Contact | [email protected] | | Units | 3-4 units | | Day/Time | Wednesdays 3:30 PM - 6:20 PM | | Location | L107L107, Littlefield Center
In person attendance is required! Zoom is offered as a backup for reasonable exceptions. | | Course Material | Canvas & GitHub |
As our world becomes more and more digitized, patients and their devices are generating streams of valuable data that can provide meaningful clinical insights. This digital health revolution provides great opportunities to design and validate new digital health concepts. Many groups within Stanford Medicine have promising ideas that are ripe for development, however, they lack the software engineering and healthcare compliance know-how to take them forward.
Building for Digital Health is a Biodesign course sponsored by the Stanford School of Medicine (SoM) and Stanford’s Computer Science (CS) department. Its goal is to provide CS students with the opportunity to apply their skills to real-world health technology development projects, while enabling SoM faculty to leverage these talented individuals to help advance their technology concepts toward patients. Both audiences will learn a repeatable approach for developing new digital health technologies and preparing to launch them in the market.
Over the course of ten weeks, students and faculty will work together to tackle a project and launch an app-enabled MVP solution. Every week, students will learn about digital health-development, sensor technologies, privacy, security, and more. In the final week of class, teams will present their final project to a panel of digital health experts.
Projects will be announced during the first week of class.
Building for Digital Health in the Age of AI Coding
Welcome to CS342/MED253 - where we're pioneering the future of digital health development through vibe coding. This year marks a transformative shift: for the first time, you'll learn to build MVP healthcare applications by collaborating project sponsors and AI coding agents, dramatically accelerating the path from clinical need to working prototype.