Category: Health
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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.
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Merging autonomy with manual control for wheelchair users
U-M researchers are tackling the same trust issues as the AV industry.
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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.
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Moving at the speed of need
How bold moves in COVID-19’s early days are powering new possibilities five years later.
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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.
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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.
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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.
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‘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.
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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.
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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.
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Cancer management: Stent sensor can warn of blockages in the bile duct
New batteryless and wireless sensor tested in pigs.
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Accounting for bias in medical data helps prevent AI from amplifying racial disparity
Some sick Black patients are likely labeled as “healthy” in AI datasets due to inequitable medical testing.