Results 101 to 110 of about 2,402,901 (306)
ABSTRACT Mutations in myelin regulatory factor (MYRF) are linked to demyelinating disorders. We report a 38‐year‐old male who developed acute symmetric leukoencephalopathy mimicking a stroke following an influenza A virus infection. While clinical symptoms markedly improved with corticosteroids, MRI revealed persistent white matter lesions, contrasting
Jinghan Hu +5 more
wiley +1 more source
Ce‐LLMs: Status and trends of education‐specific large language models developed in China
The prevalence of AI hallucination in general‐purpose large language models (LLMs) poses significant pedagogical challenges, particularly in terms of content credibility and reliability.
Tao Xie, Yingli Zhou, Jiazhen Yu
doaj +1 more source
Frailty Exacerbates Disability in Progressive Multiple Sclerosis
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks +10 more
wiley +1 more source
An overview of large AI models and their applications
In recent years, large-scale artificial intelligence (AI) models have become a focal point in technology, attracting widespread attention and acclaim.
Xiaoguang Tu +5 more
doaj +1 more source
ABSTRACT Pathogenic variants in KIF1C cause Spastic Paraplegia 58 (SPG58), typically presenting with cerebellar ataxia and spastic paraparesis. We report two unrelated patients with spastic paraparesis, cerebellar ataxia, and tremor. Whole‐exome sequence analysis identified novel homozygous variants in the motor domain of KIF1C (NM_006612.6): c.921G>A (
Akihiko Mitsutake +12 more
wiley +1 more source
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela +13 more
wiley +1 more source
Objectives: To guide language model (LM) selection by comparing finetuning vs. zero-shot use, generic pretraining vs. domain-adjacent vs. further domain-specific pretraining, and bidirectional language models (BiLMs) such as BERT vs.
Lovedeep Gondara +5 more
doaj +1 more source
Representation in large language models [PDF]
The extraordinary success of recent Large Language Models (LLMs) on a diverse array of tasks has led to an explosion of scientific and philosophical theorizing aimed at explaining how they do what they do. Unfortunately, disagreement over fundamental theoretical issues has led to stalemate, with entrenched camps of LLM optimists and pessimists often ...
openaire +2 more sources
Large language models in plant biology
Large language models (LLMs), such as ChatGPT, have taken the world by storm. However, LLMs are not limited to human language and can be used to analyze sequential data, such as DNA, protein, and gene expression. The resulting foundation models can be repurposed to identify the complex patterns within the data, resulting in powerful, multipurpose ...
Hilbert Yuen In Lam +2 more
openaire +3 more sources
Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer +14 more
wiley +1 more source

