Results 101 to 110 of about 10,655,437 (309)
Endothelial Cell Proteins as Biomarkers in Susac Syndrome
ABSTRACT Objective Susac syndrome (SS) is a rare CD8+ T cell–mediated microangiopathy affecting the brain, retina, and auditory labyrinth. Endothelial injury is thought to be a central mechanism; however, no circulating disease biomarkers are known. We performed targeted proteomic profiling to identify circulating endothelial‐associated proteins as ...
Rohit Benjamin +11 more
wiley +1 more source
The rapid growth of tourism in Ho Chi Minh City has generated a huge volume of Vietnamese hotel reviews, creating an urgent demand for effective aspect-based sentiment analysis (ABSA).
Tam Khoi Tran, Phuoc Tran
doaj +1 more source
ABSTRACT Objective CDKL5 deficiency disorder (CDD) is a rare, severe developmental and epileptic encephalopathy. There is a pressing need to develop effective and sustainable therapeutic strategies. We aimed to investigate the causal association between febrile episodes and epileptic seizures for therapeutic implications in CDD patients.
Siyi Wang +13 more
wiley +1 more source
Visual Execution and Data Visualisation in Natural Language Processing [PDF]
We describe GGI, a visual system that allows the user to execute an automatically generated data flow graph containing code modules that perform natural language processing tasks. These code modules operate on text documents.
Humphreys, Kevin +3 more
core +1 more source
Myostatin/Smad3 in Spinal Muscular Atrophy: Biomarkers of Disease Severity and Treatment Response
ABSTRACT Objective Given the role of Myostatin (MSTN) in muscle homeostasis and its modulation by current spinal muscular atrophy (SMA) therapies, we investigated serum MSTN and, for the first time, its downstream effector Smad3 as candidate non‐invasive biomarkers in SMA patients undergoing disease‐modifying therapies (DMTs).
Giorgia Riolo +11 more
wiley +1 more source
Logic replicant: a new machine learning algorithm for multiclass classification in small datasets
Multiclass classification with small datasets often presents a significant challenge for conventional machine learning (ML) algorithms, predicting with an accuracy affected by this context of data scarcity. To remedy this, this papers presents a novel ML
Pedro Corral +2 more
doaj +1 more source
Natural language generation in the LOLITA system an engineering approach [PDF]
Natural Language Generation (NLG) is the automatic generation of Natural Language (NL) by computer in order to meet communicative goals. One aim of NL processing (NLP) is to allow more natural communication with a computer and, since communication is a ...
Smith, Mark H.
core
Objective The aim of this study was to characterize the prevalence and correlates of dietary supplement use, identify commonly used supplements, and evaluate potential supplement–medication interactions among adults with systemic lupus erythematosus (SLE).
Sarah L. Patterson +7 more
wiley +1 more source
Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo +2 more
wiley +1 more source

