Wearable Alerts in Older Adults Need Accountability, Not Just More Data
A new perspective paper proposes a conceptual, unvalidated framework for turning continuous wearable signals in older adults into individualized trajectories ...
Tag: digital biomarkers
Speech Alone Predicts Schizophrenia Symptom Severity Across Ten Countries
An international study shows machine learning models can estimate schizophrenia symptom severity from speech recordings alone across ten languages.
Walking a little faster changes many muscles at once, but not the forces beneath your feet
A new integrated gait-analysis framework found that a modest speed increase produced widespread multi-muscle electromyography changes in healthy young adults ...
Thermally provoked itch in atopic dermatitis: current evidence, knowledge gaps, and digital approaches to nocturnal scratching
A critical narrative review finds that heat-sensitive itch in atopic dermatitis involves plausible links among skin barriers, immune signals and ...
Tablet-based augmented reality test spots mild cognitive impairment in under 15 minutes
A cross-sectional study of 638 older adults across three countries found that a self-administered tablet-based assessment combining motoric, augmented reality, ...
Deep learning predicts DNA repair deficiency in HGSOC pathology slides
A retrospective study in high-grade serous tubo-ovarian carcinoma found that HRDPath inferred homologous recombination deficiency from pathology slides with an ...
3D Facial Scans Could Turn Swelling Into an Objective Biomarker for a Rare Disease
For people living with rare diseases, the road to a diagnosis is often measured in years. More than 10,000 distinct ...
Wearable Sensors and AI Are Rewriting How Parkinson’s Disease Is Measured, Landmark Study Finds
A bibliometric analysis of 3,332 publications shows wearable sensor research in Parkinson's disease has grown exponentially since 2019, shifting from ...
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 ...
Alzheimer’s Precision Medicine Must Fuse Cure and Care, Researchers Argue
A new Perspective argues that Alzheimer's precision medicine should treat cure and care as linked outputs of one continuously learning ...
Nighttime Stiffness May Quietly Steal Daytime Mobility in Parkinson’s Disease
A matched-cohort study finds that Parkinson's patients with nocturnal hypokinesia show slower turning, poorer backward walking, and fewer daily steps, ...
AI Turns Cognitive Test Data Into Images to Forecast Multiple Sclerosis Disability
Researchers converted serial cognitive reaction time data into images and used a Transformer-based deep survival model to predict disability progression ...
Smartphone tests track early Parkinson’s motor decline over two years
A two-year Czech study used biweekly smartphone tasks to detect subtle motor progression in people with isolated REM sleep behavior ...
How You Walk, Not Just How Fast, May Reveal Early Dementia Risk
A new GeroScience study shows that motoric cognitive risk syndrome carries a multidimensional gait signature, detectable through machine-learning anomaly scores, ...
AI Forecasts Mental Health Crises Using Minimal Digital Data
In a pioneering advance poised to transform the landscape of psychiatric care, researchers have unveiled a novel machine learning framework ...
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