Results 111 to 120 of about 1,061,883 (288)
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a clinically heterogeneous neurodegenerative disease requiring reliable biomarkers to improve patient stratification and trial design. While serum neurofilament light chain (sNfL) reflects neuroaxonal stress and disease aggressiveness, troponin T (TnT) may capture complementary aspects of ...
Julia Sellin +8 more
wiley +1 more source
Introduction: The widespread adoption of Global Positioning System (GPS) technology has rendered trajectory data pivotal for urban traffic planning and travel pattern analysis.
Xiaojuan Ran +6 more
doaj +1 more source
Trajectory Clustering by Sampling and Density
The trajectory data of moving objects contain huge amounts of information pertaining to traffic flow. It is incredibly important to extract valuable knowledge from this particular kind of data.
Pan, Jiacai +3 more
core
Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella +5 more
wiley +1 more source
Association Between Neurofilament Light Chain and Real‐World Ambulatory Function in Progressive MS
ABSTRACT Objective Neurofilament light chain (NfL) is a biomarker of neuroaxonal injury in multiple sclerosis (MS), yet associations with functional outcomes remain unclear. Longitudinal associations between serum NfL (sNfL) and daily step count (STEPS) from wearable devices were assessed in a large international progressive MS cohort.
Gabby B. Joseph +5 more
wiley +1 more source
A Qualitative Evaluation of Distance Measures in Trajectory Data Clustering
Trajectory clustering is one of the most important data mining tasks on this spatio-temporal data type. Many existing algorithms perform clustering by employing a distance measure designed specifically for trajectory data.
Grossniklaus, Michael +3 more
core +1 more source
Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring
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
Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis
ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit +10 more
wiley +1 more source
Identifying and predicting Parkinson's disease subtypes through trajectory clustering via bipartite networks. [PDF]
Krishnagopal S +3 more
europepmc +1 more source
Quantifying the clusterness and trajectoriness of single-cell RNA-seq data.
Among existing computational algorithms for single-cell RNA-seq analysis, clustering and trajectory inference are two major types of analysis that are routinely applied.
Hong Seo Lim, Peng Qiu
doaj +1 more source

