Michigan Research interviewed Dr. Michael Sjoding, Associate Director of Research Implementation at AI&DHI, and Dr. Jenna Wiens, Co-Director of AI&DHI, for a piece discussing the potential of artificial intelligence to transform healthcare.

Reflecting on our first year under our new banner and the achievements, insights and growth that shaped it.

As Dr. Lavieri jumps into this new role, we pitched her several questions to better understand her vision for AI&DHI, her hopes for how the College of Engineering can play a lead role in the field of AI and digital health, and more.

AI & Digital Health Innovation and e-HAIL have merged operations to form a one stop shop for health AI researchers across the university seeking research support.

Building on the Michigan Genomic Initiative’s successful 100k+ patient GWAS dataset, AI&DHI, in collaboration with the Michigan Medicine Department of Pathology, has initiated a Whole Genome Sequencing (WGS) pilot on 10k individuals.

Hosted by AI & Digital Health Innovation, this event provided the opportunity for U-M researchers, faculty members and students who share an interest in genomics and genetics to convene and learn from each other.

Dr. Pasternak’s research focuses on the discovery and validation of pharmacogenetic associations and evaluating the clinical impact of translating pharmacogenetics into patient care. Her current work is focused on increasing the understanding of tacrolimus pharmacogenetic interactions in multiple transplant populations and among routes of administration.

The goal of this project is to provide modern genetic data to users of MGI to maximize scientific impact. However, there are many possible ways this goal can be achieved. Here, we ask for proposals from the UM scientific community on how to select the subset of MGI participants to be sequenced.

Around 250 members of the U-M research community gathered for the 4^th annual AI & Health Symposium. Hosted jointly by e-HAIL and AI&DHI, with support from IHPI, the symposium drew investigators from across departments and disciplines eager to forge new collaborations and learn more about the work taking place where AI and healthcare meet at U-M.

A team led by AI&DHI researcher Dr. Zhenke Wu is building reliable and effective digital intervention systems aimed at supporting the mental health of medical interns—a group particularly vulnerable to stress and burnout.

A pioneer who revolutionized how pharmacy care is practiced, Dr. Choe worked on numerous transformative initiatives with AI&DHI, and her passion served as the driving force behind establishing the groundwork for how we operate today.

A memorial service for Dr. Choe will be held August 9 (Sat.) at 11am in the Michigan Union Rogel Ballroom.

Users of DataDirect may notice some changes in the self-serve tool's user interface. The overarching goal of these changes is to make access to the deideintified EHR data the default option, enhancing security and safety around access and use of Michigan Medicine patients’ EHR data.

AI guidance for clinicians aimed at reducing the spread of Clostridioides difficile—a bacteria that can be deadly for sick patients—was deployed for the first time in a hospital setting, according to a University of Michigan-led study published in JAMA Network Open.

The AI&DHI data refresh in AI&DHI (deidentified) DataDirect and Deidentified Research Data Warehouse (RDW) is now complete, with both billing data and clinical data updated through 3/31/2025.

In 2020, Dr. Jessica Golbus and her team set out to examine whether a mobile health (mHealth) intervention using personalized text message guidance could improve the physical activity levels of low and moderate risk patients who were enrolled in center-based cardiac rehabilitation.

When Nate Wood arrived at the University of Michigan as a freshman, he already knew he wanted to become a doctor. But growing up in Muskegon, Michigan, in a family without physicians, he didn’t yet have a clear path—or mentors to help guide him. That changed when he joined the Michigan Genomics Initiative (MGI) as an undergraduate research assistant.

The reports contain impressions, narratives and other detailed notes matching the 1.1 million chest X-ray and 100,000 brain MRI studies available through AI&DHI’s secure HIPAA-compliant Turbo environment.

Dr. Zebrack’s research currently focuses on identifying and defining functional genomic pathways through which current and past psychosocial and social environmental risk and resilience factors influence gene expression in Adolescence/Young Adulthood, and thus contribute to a greater understanding of health disparities in post-treatment survivorship. 

The University of Michigan College of Engineering speaks with AI & Digital Health Innovation Co-Director Dr. Jenna Wiens about AI&DHI and its custom-built digital environment that is powering tomorrow’s health AI research.

We are excited to announce the completion of genotype calling, quality control, and genotype imputation for Freeze 7 of the Michigan Genomics Initiative dataset.

This update brings significant improvements over Freeze 6. See inside for details.