• Second Annual Duke Summit on AI for Health Innovation

    The Duke Summit on AI for Health Innovation is open to healthcare professionals, industry leaders, and business professionals, including faculty, students, and staff from Duke and other academic institutions. The Duke Center for Computational and Digital Health Innovation is a sponsor of the event. Please join us! Event Highlights Cross-Disciplinary Collaboration: Engage with a diverse...

  • Espresso Chat: Ankit Gupta

    Espresso Chats are informal, 30-minute virtual conversations designed to connect students directly with alumni, industry professionals, and thought leaders in digital health. There’s no formal presentation—just candid conversation about careers, innovation, and lessons learned. With small group sizes and a cap on attendance, each session stays personal and interactive, giving participants the chance to ask questions and gain insights...

  • CoP #2: What Do We Do When Technology Fails or Lies to Us?

    Location to be announced. About Communities of Practice Communities of Practice (CoPs) are at the heart of the Computational and Digital Health Innovation Certificate. Open to trainees, clinicians, and faculty, CoPs provide a space for conversation and reflection on the present and future of computational and digital health innovation. These gatherings bring together diverse participants,...

  • The Loops of Life

    Virtual Event

    Speaker: Dr. Michael Rubinstein, November 6 @ 3:00 PM – 4:00 PM

  • CoP #3: What Tools Do I Use for CDH Research? (and What Tools Should I Really Be Using?)

    Location to be announced. About Communities of Practice Communities of Practice (CoPs) are at the heart of the Computational and Digital Health Innovation Certificate. Open to trainees, clinicians, and faculty, CoPs provide a space for conversation and reflection on the present and future of computational and digital health innovation. These gatherings bring together diverse participants,...

  • Espresso Chat: Gina Lee

    Espresso Chats are informal, 30-minute virtual conversations designed to connect students directly with alumni, industry professionals, and thought leaders in digital health. There’s no formal presentation—just candid conversation about careers, innovation, and lessons learned. With small group sizes and a cap on attendance, each session stays personal and interactive, giving participants the chance to ask questions and gain insights...

  • Fast and Efficient AI

    Virtual Event

    Speaker: Dr. Yang You, Virtual Event: December 4 @ 9:00 AM – 10:00 AM

  • Health Data Science Poster Showcase

    Duke AI Health, in partnership with Duke Health and the Pratt School of Engineering, will be hosting the Health Data Science Poster Showcase on Friday, December 12, from 11:30 AM to 1:30 PM at Duke’s Fitzpatrick Center for Interdisciplinary Engineering, Medicine and Applied Sciences (FCIEMAS) Atrium, Ground Level. No registration is needed for this event,...

  • CoP #4: DHI Certificate Kickoff & Chats

    Location: Bseisu Cafe About Communities of Practice Communities of Practice (CoPs) are at the heart of the Computational and Digital Health Innovation Certificate. Open to trainees, clinicians, and faculty, CoPs provide a space for conversation and reflection on the present and future of computational and digital health innovation. These gatherings bring together diverse participants, from...

  • Espresso Chat: Gina Lee

    About Espresso Chats Espresso Chats are informal, 30-minute virtual conversations designed to connect students directly with alumni, industry professionals, and thought leaders in digital health. There’s no formal presentation—just candid conversation about careers, innovation, and lessons learned. With small group sizes and a cap on attendance, each session stays personal and interactive, giving participants the chance to ask questions...

  • Boyuan Chen Virtual Seminar: “Discovery Machines: From Pixels to Physics”

    What if a machine could watch a video and write down the equations of motion? I’ll discuss our recent work toward this goal — systems that learn to discover the hidden state variables and governing dynamics directly from raw visual data. These discovered Neural State Variables and Neural State Vector Fields not only reproduce trajectories but also reveal the structure of these dynamical systems: equilibrium, stability, and chaos. The results suggest a path toward a self-driven AI scientist.