AI and the Digital Exhaust: How Everyday Data Could Transform Huntington’s Disease Drug Development
A new review argues that AI-driven passive monitoring of everyday digital data, from smartphone keystrokes to home radar sensors, could ...
A new review argues that AI-driven passive monitoring of everyday digital data, from smartphone keystrokes to home radar sensors, could ...
A new Perspective argues that Alzheimer's precision medicine should treat cure and care as linked outputs of one continuously learning ...
A University of Zurich study found that machine learning analysis of what psychosis patients say, rather than how they sound, ...
A matched-cohort study finds that Parkinson's patients with nocturnal hypokinesia show slower turning, poorer backward walking, and fewer daily steps, ...
Researchers converted serial cognitive reaction time data into images and used a Transformer-based deep survival model to predict disability progression ...
A two-year Czech study used biweekly smartphone tasks to detect subtle motor progression in people with isolated REM sleep behavior ...
A new GeroScience study shows that motoric cognitive risk syndrome carries a multidimensional gait signature, detectable through machine-learning anomaly scores, ...
A scoping review of 84 studies finds that smartphone-based mobility analysis is spreading rapidly across neurology, geriatrics, and orthopedics, but ...
A new bibliometric analysis in GeroScience maps 22 years of dual-task research in cognitive aging, tracing its evolution from gait ...
A community study of 339 cognitively unimpaired older adults found that motor speech features from self-administered rapid syllable repetition tasks ...
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© 2026 Scienmag - Science Magazine