Our Communities

AI&DHI powers the research. Our communities power the researchers.

AI&DHI provides the data, tools, and infrastructure. Our communities provide the connections and collaboration. Together, they give researchers everything they need to succeed.

Michigan Genomics Initiative (MGI)

Group of diverse people joining hands in a circle, indoors, symbolizing teamwork and unity.

The Michigan Genomics Initiative (MGI) is a collaborative research effort among physicians, researchers, and patients at Michigan Medicine.

The MGI Community is an integral part of the MGI Initiative. Our community brings together like-minded researchers, interested in exploring the use of genetic data to improve health.

About the MGI Community

MGI is a community built around shared data and shared resources with focus on lowering the barriers of entry and allowing a wide range of researchers and clinicians to become involved in genetics research.

The goal of MGI is to enable the adoption of genetics understanding in clinical practice. This is is seen through:

  • High quality data preparation with extensive input by internationally recognized domain experts.

  • Centralized pre-analysis with domain expert input (Imputation, Star alleles)

  • Return of user-generated data.

  • Tools (Encore, Pheweb)& Computation infrastructure that iterates across projects.

  • Support of Analyses

  • MGI project (Return of Results)

  • Annual symposium with High Profile External Speaker. Here we learn about research using MGI, discuss the future goals for the data, and additional pre-analyses.

For more information, contact:
Sebastian Zoellner, PhD
Professor, Biostatistics Department
Professor, Psychiatry Department
Co-Director, AI & Digital Health Innovations

“The MGI Community is a great place to interact with U-M researchers who are interested in leveraging genetic data to advance digital health research. There is a wealth of knowledge, expertise, and a strong sense of community within the MGI Community – it’s really helped me as I think about my genetic research.”

Xiang Zhou, PhD
Professor, Biostatistics

e-HAIL

A large group of people attending a conference or seminar in a bright, spacious room with high ceilings, large windows, and an American flag hanging on the wall. Attendees are seated at round tables, listening to a speaker at the front.

Breakthrough research starts with the right connections.

e-HAIL brings together clinicians, AI experts, and researchers from across campus to collaborate, share ideas, and advance health AI research.

About e-HAIL

e-HAIL is the faculty community within AI&DHI that connects faculty across campus to collaborate and advance health AI research. Our active community engages in:

  • Thematic workshops and brainstorming sessions

  • Proposal reviews

  • Symposia and events

Community members are notified of new health AI grant opportunity information and are eligible to apply for pilot funding including:

  • Summer Student Support Program

  • Dataset Creation Awards

  • MedTech Match Grand Challenge

e-HAIL members also receive prioritized access to all AI & Digital Health Innovation services and support.

For more information, contact:
Kelly Manthei, Program Manager, e-HAIL

“We could not have pulled off our recent projects without e-HAIL. Based on an initial conversation, e-HAIL’s program manager made the connection to colleagues in Engineering whose research interests were a good fit, and the collaboration has blossomed from there. Our progress so far has been really exciting!”

Devin McCaslin, PhD
Head and Neck Surgery, Michigan Medicine

Mobile Technologies Core (MTC)

Mobile Technologies Core

MTC is the go-to hub for cutting-edge knowledge and mobile health technology collaboration at U-M.

The Mobile Technologies Core supports researchers with expert guidance and comprehensive resources for integrating wearables and mobile technologies into health, wellness, and human performance research—at every stage.

  • Peer-Reviewed Literature Searches: Discover curated and customizable literature searches, designed to help you quickly find clinical and technological research relevant to your project’s needs.

  • Code Repository: Explore reusable code developed for health research using the latest in mobile technology—perfect for jump-starting your next project.

  • Video Library: Learn from the best! Watch recorded talks by leading researchers, sharing insights and strategies for cutting-edge research using digital and mobile technologies.

  • Mobile Health Data Sets: Get your hands on unique research datasets collected from wearables and other mobile devices—an invaluable asset for data-driven discovery.

  • Discussion Forum: Join a dynamic Q&A forum where researchers interested in mental health and mobile tech share questions, solutions, and ideas.

  • Affinity Groups: Connect with specialized knowledge-sharing groups of U-M researchers and their teams who leverage mobile tech across a variety of disciplines.

  • U-M Remote and Mobile Technology Expertise: Easily search for and connect with U-M collaborators who have specialized skills and experience in mobile technology, opening doors to impactful partnerships.

  • Poster & Document Repository: Browse a rich database of posters, presentations, and scholarly works showcasing the innovation and achievements across the U-M mobile tech community.

About the Mobile Technology Core

Whether you’re exploring new data from wearables, interested in connecting with expert peers, or diving into peer-reviewed studies, we can help empower you to innovate, discover, and connect.

Our resources include:

  • Consultations: Receive personalized guidance tailored to your research questions—tap into the expertise of specialists who can help you navigate every aspect of research using digital tools and mobile devices. Get support for study design, methodology, data collection, and more—ensuring you have the resources you need to succeed.

  • Knowledge Base: Access a comprehensive collection of expert-written articles, best practices, step-by-step tutorials, and in-depth code documentation focused on mobile technology in research.

For more information, contact:
Victoria Bennett,
Mobile Technologies Core Manager

“Working across campus, we have sourced diverse and comprehensive expertise to reduce friction for investigators using mobile technologies in their research.”

Cathy Goldstein, M.D.
MeTRIC & Mobile Technologies Core Faculty Lead
Michigan Medicine