Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Plasma p‐tau181 has proven to be a promising diagnostic and prognostic tool in the earliest phases of Alzheimer's disease (AD). We aimed to evaluate the prognostic role of p‐tau181 in predicting conversion to AD dementia and worsening in cognition in mild cognitive impairment (MCI) and subjective cognitive decline (SCD).
Giulia Giacomucci +12 more
wiley +1 more source
Learning incoherent sparse and low-rank patterns from multiple tasks [PDF]
, 2010 Jianhui Chen, Ji Liu, Jieping Ye
openalex +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin +12 more
wiley +1 more source
Large scale image annotation: learning to rank with joint word-image embeddings [PDF]
, 2010 Jason Weston +2 more
openalex +1 more source
Expanding Hereditary Spastic Paraplegias Limits: Biallelic SPAST Variants in Cerebral Palsy Mimics
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegias (HSP) are rare neurodegenerative disorders marked by spasticity and lower limb weakness. The most common type, SPG4, is usually autosomal dominant and caused by SPAST gene variants, typically presenting as pure HSP.
Gregorio A. Nolasco +18 more
wiley +1 more source
Design, implementation, and evaluation of the computer-aided clinical decision support system based on learning-to-rank: collaboration between physicians and machine learning in the differential diagnosis process. [PDF]
BMC Med Inform Decis Mak, 2023 Miyachi Y, Ishii O, Torigoe K.
europepmc +1 more source
Limited Rank Matrix Learning, discriminative dimension reduction and visualization [PDF]
, 2011 Kerstin Bunte +5 more
openalex +1 more source
How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution
, 2017 Wisely utilizing the internal and external learning methods is a new challenge in super-resolution problem. To address this issue, we analyze the attributes of two methodologies and find two observations of their recovered details: 1) they are ...
Ji, Peiyuan +4 more
core
Exosome Proteomics of SOD1D90A Mutation Suggest Early Disease Mechanisms, and FN1 as a Biomarker
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Amyotrophic lateral sclerosis (ALS) is a neuromuscular disease. Super oxide dismutase 1 (SOD1) gene mutations cause ALS, and the D90A mutation is associated with primarily upper motor neuron (UMN) loss. Objective Our goal is to reveal the early cellular events in ALS pathology and identify potential pharmacokinetic biomarkers, using well ...
Mukesh Gautam +6 more
wiley +1 more source
Rank-SIFT: Learning to rank repeatable local interest points [PDF]
, 2011 Bing Li +5 more
openalex +1 more source