Results 151 to 160 of about 8,886,832 (245)

Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay   +15 more
wiley   +1 more source

Electrostatic Potential Complementarity for Thickness-Tolerant Cathode Interlayers in High-Efficiency Organic and Tandem Solar Cells. [PDF]

open access: yesAdv Sci (Weinh)
Ding X   +13 more
europepmc   +1 more source

Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti   +6 more
wiley   +1 more source

Electrostatic Potential Tuning by Low-Volatility Halogenated Additive: Boosting PTQ10-Based Binary OPV to Near 20% Efficiency with High Scalability. [PDF]

open access: yesAdv Mater
Lu H   +18 more
europepmc   +1 more source

Electrostatic potential-derived charge: a universal OER performance descriptor for MOFs. [PDF]

open access: yesChem Sci, 2022
Xue X   +10 more
europepmc   +1 more source

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai   +13 more
wiley   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

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