Results 111 to 120 of about 392,453 (267)

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

Comparison of Input-Data Matrix Representations Used for Continual Learning with Orthogonal Weight Modification on Edge Devices

Sensors
The number of industrial processes in which smart devices have been employed rises every day; these devices can be found performing tasks related to the automation, digitization, or optimization of the process.
Ronald Mendez, Andreas Maier, Johannes Emmert   +2 more
doaj   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

Federated Learning Under Evolving Distribution Shifts

Entropy
Federated learning (FL) is a distributed learning paradigm that facilitates training a global machine-learning model without collecting the raw data from distributed clients.
Xuwei Tan, Tian Xie, Xue Zheng, Aylin Yener, Myungjin Lee, Ali Payani, Hugo Latapie, Xueru Zhang   +7 more
doaj   +1 more source

Toward Learning Distributions of Distributions.

We propose a novel generative deep learning architecture based on generative moment matching networks. The objective of our model is to learn a distribution over distributions and generate new sample distributions following the (possibly complex) distribution of training data.
Wohlstein, Moritz, Brefeld, Ulf
openaire   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Distributed and Adaptive Machine Learning for Wearable Sensor Time-Series Data in Healthcare Monitoring and Human Activity Recognition: A Review

IEEE Access
Sensing technologies are increasingly used to collect multimodal time-series data for human activity recognition (HAR) and healthcare monitoring, enabling applications in healthcare rehabilitation, and assistive technologies.
Florenc Demrozi
doaj   +1 more source

Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites. [PDF]

NPJ Digit Med, 2022
Tong J, Luo C, Islam MN, Sheils NE, Buresh J, Edmondson M, Merkel PA, Lautenbach E, Duan R, Chen Y.   +9 more
europepmc   +1 more source

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs, Marcel Naumann, Annaliis Lehto, Hanna Schön, Jens Kurth, Johannes Prudlo, Andreas Hermann, Elisabeth Kasper   +7 more
wiley   +1 more source

Addressing the Needs of Diverse Distributed Students

International Review of Research in Open and Distributed Learning, 2013
Two interrelated studies were undertaken to assist Alberta post-secondary institutions with meeting challenges associated with providing services to diverse distributed students that are of similar quality to services provided to traditional classroom ...
Rena Shimoni,, Gail Barrington,, Russ Wilde,, Scott Henwood   +3 more
doaj