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A new era in AI health research: A Q&A with Jenna Wiens
  1. A new era in AI health research: A Q&A with Jenna Wiens

    A co-director of U-M’s AI & Digital Health Innovation discusses the custom-built digital environment that will power tomorrow’s health AI research.

  2. Merging autonomy with manual control for wheelchair users

    U-M researchers are tackling the same trust issues as the AV industry.

  3. Enabling stroke victims to “speak”: $19M toward brain implants to be built at U-M

    Marcus Foundation’s $30 million gift supports a collaboration between Stanford and U-M to help stroke victims regain the ability to read, write and speak.

  4. Moving at the speed of need

    How bold moves in COVID-19’s early days are powering new possibilities five years later.

  5. U-M’s Zhen Xu, histotripsy co-inventor, honored with endowed professorship from Li Ka Shing Foundation

    Foundation looks to support histotripsy research at the place it was invented.

  6. Multiple sclerosis: Cell-catching implant helps identify successful treatment in mice

    The implant attracts diseased immune cells, enabling researchers to study and target them with a nanoparticle-based treatment.

  7. Bridging gaps in rural health care with AI-powered mobile clinics

    General practitioners with AI help could make diagnoses, run and interpret tests, and perform procedures like specialists.

  8. ‘Unprecedented’ level of control allows person without use of limbs to operate virtual quadcopter

    Brain-computer interface can enable people with paralysis to socialize with others, participate in remote work and enjoy recreational activities.

  9. Histotripsy tumor treatment moves from trials to triumphs in 2024

    U-M co-inventor of the cancer treatment has been named a National Academy of inventors fellow.

  10. Precision health and advanced communications: €9M ($10M) for bio-inspired nanoparticles on demand

    Advanced microscopy techniques and AI models will help design complex nanoparticles for specific biological targets with less trial and error.