Predicting Loss of Ambulation in Limb Girdle Muscular Dystrophy R9
ABSTRACT Background Limb girdle muscular dystrophy type R9 (LGMDR9) results from biallelic variants in FKRP. There is limited data to predict loss of ambulation (LOA) among those with LGMDR9. Methods Participants in an ongoing dystroglycanopathy natural history study (NCT00313677) with FKRP variants who had achieved ambulation and were more than 3 ...
Chandra L. Miller +6 more
wiley +1 more source
Physics-guided GNN-transformer model for multi-scale fatigue life prediction of concrete track slabs in high-speed railways. [PDF]
Su X, Lou P, Zha Z.
europepmc +1 more source
Multivariate Time-Series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection [PDF]
Jwala Dhamala +4 more
openalex +1 more source
States changes representation for time series
This work was carried out with the support of the Generalitat de Catalunya 2021 SGR 01125, and funded by the Grants for the Recruitment of New Research Staff (FI), provided by the Agència de Gestió d’Ajuts Universitaris i de Recerca (AGAUR)
openaire +1 more source
Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley +1 more source
Causality-driven feature representation for connectivity prediction. [PDF]
Souza B +5 more
europepmc +1 more source
Image Time Series Classification based on a Planar Spatio-temporal Data Representation
Mohamed Chelali +3 more
openalex +1 more source
ABSTRACT Objective To determine the concentration of glial fibrillary acidic protein (GFAP) in cerebrospinal fluid (CSF) and plasma in Alexander disease (AxD) and whether GFAP levels are predictive of disease phenotypes. Methods CSF and plasma were collected (longitudinally when available) from AxD participants and non‐AxD controls.
Amy T. Waldman +9 more
wiley +1 more source
GraFT: A robust network-based spatiotemporal analysis of filamentous structures. [PDF]
Østerlund I +5 more
europepmc +1 more source
Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification
Zhenyu Liu
openalex +1 more source

