2025 · Alzheimer's research & therapy · open access
Speech digital biomarker combined with fluid biomarkers predict cognitive impairment through machine learning
Wang et al.
The finding, in our words
Combining the speech digital biomarker percentage of silence duration with serum GFAP, p-Tau217 and APOE achieved high accuracy for diagnosing cognitive impairment and classifying amyloid-beta status, offering an accessible route to early Alzheimer disease detection.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
In progressive multiple sclerosis, higher serum neurofilament light chain levels were associated with reduced daily step counts from wearables, while higher step counts were linked to lower sNfL. A ten percent increase in steps corresponded to a 0.015 decrease in sNfL z-score, suggesting rising sNfL may predict subsequent mobility decline.
Joseph et al., Annals of clinical and translational neurology (paywalled) · source ↗
Higher plasma BDNF levels were associated with a lower prevalence of sarcopenia and better kinetic and spatiotemporal gait performance in older adults.
Zhang et al., Journal of cachexia, sarcopenia and muscle · source ↗
The High-Definition Oncology feasibility study in 30 women with metastatic cancer demonstrated high adherence to biospecimen collection (97.4% plasma, 80.7% stool) and wearable monitoring (70–95% of days captured for activity, heart rate, sleep, and oxygen saturation). This establishes a viable framework for decentralised, multimodal data collection in oncology to support individualised treatment models.
Garma et al., JCO precision oncology (paywalled) · source ↗
In 20 adults, CRP measured in urine and saliva strongly correlated with serum CRP (Spearman rho 0.886) and was significantly elevated in participants with systemic inflammation compared with controls, suggesting these noninvasive matrices could replace venipuncture for monitoring inflammatory status in remote or at-home settings.
The study demonstrated that longitudinal remote monitoring using wearable sleep electroencephalography, actigraphy, and self-collected saliva samples is feasible in older adults with mild cognitive impairment or dementia, with high retention and data completeness rates over eight weeks.