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Cardiometabolic risk factors can be identified in kids as young as 8

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UTHealth Houston team reverses nerve pain in diabetic mice

A team of UTHealth Houston researchers slowed and even reversed diabetic nerve damage in mice, bringing researchers one step closer to developing a treatment for humans.

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Research News University of Minnesota Medical School

University of Minnesota awarded up to $6 million to develop new treatments for suicidality and severe mental illness

A University of Minnesota Medical School research team has been awarded up to $6 million from the Advanced Research Projects Agency for Health (ARPA-H), an agency within the U.S. Department of Health and Human Services, to develop more effective treatments for people with severe mental health issues, including thoughts of suicide.

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Responsible AI must be built in from the start

School of Management professor co-edits special journal issue on how AI can be designed for public good.

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The children's mental health crisis

Thirteen percent of U.S. children aged 3–17 have a diagnosed mental or behavioral health condition, and American youth suicide rates far exceed those of peer countries. But the popular story — a sudden, smartphone-driven collapse — doesn't fit five decades of data. This series examines where the crisis comes from, which interventions demonstrably help, and what we still need to learn.

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Researchers discover highly potent compound that blocks Ebola virus entry

A University of Minnesota-led multi-institutional research team has discovered a highly potent small molecule that blocks Ebola virus entry by stabilizing the virus's entry protein and provides strong protection when given orally in a preclinical model.

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Summer program shows promise

Intervention program for children living with autism and with no intellectual disability significantly improved their social performance.

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Making Medical AI Smarter and Safer

Qingyu Chen, PhD , and his team set out to study how artificial intelligence (AI) language models are adapted for medicine and found that what these models memorize can be both useful and risky. A model may retain valuable medical knowledge, but in a controlled study using real hospital records, the same fine-tuning—the added training that adapts a model to a specific task—that improved diagnostic

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