He Needed a Caregiver As His Body Shut Down. AI Found Him the One.
Home Instead, a home healthcare services company, connected Christina Evers with Merrill Hale, who has ALS and needs full-time care.
Read the original →Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
Home Instead, a home healthcare services company, connected Christina Evers with Merrill Hale, who has ALS and needs full-time care.
Read the original →A vision-based machine learning study of 61 dementia care residents found that ceiling-mounted cameras and gait analysis could detect gait severity changes. The changes were associated with acute antipsychotic dose changes.
Read the original →Seocho-gu in Seoul will run a pilot smart integrated care project using AI companion robots and smart urine chemical analyzers through December.
Read the original →NewDays, a Seattle startup using a generative AI therapy to treat people with mild dementia, has raised additional funding and closed its seed round with $16 million. The funding was led by Madrona and General Catalyst. The company also announced on Wednesday that it has expanded its services to Nevada, joining Washington, California, Florida and Texas.
Read the original →A new explainable machine learning framework combines EEG signals with clinical data. It distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 percent accuracy.
Read the original →The government-funded Institute for Information Industry (III) and industry partners developed an AI-powered technology that turns old photographs, voice recordings and family stories into personalized videos for use in dementia care. The organization said so on Sunday.
Read the original →The article lists 5 ways to fight back from the risks posed by automated payment reviews.
Read the original →A semi-supervised adversarial autoencoder detects gait phases in real time for post-stroke exoskeleton control. It reaches 93.79% accuracy with only 10% labeled pathological data.
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