Results 71 to 80 of about 6,156,320 (380)

Phenotypic continuum of NFU1‐related disorders

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 2025-2035, December 2022., 2022
Abstract Bi‐allelic variants in Iron–Sulfur Cluster Scaffold (NFU1) have previously been associated with multiple mitochondrial dysfunctions syndrome 1 (MMDS1) characterized by early‐onset rapidly fatal leukoencephalopathy. We report 19 affected individuals from 10 independent families with ultra‐rare bi‐allelic NFU1 missense variants associated with a
Rauan Kaiyrzhanov   +45 more
wiley   +1 more source

Large Language Models: Their Success and Impact

open access: yesForecasting, 2023
ChatGPT, a state-of-the-art large language model (LLM), is revolutionizing the AI field by exhibiting humanlike skills in a range of tasks that include understanding and answering natural language questions, translating languages, writing code, passing ...
Spyros Makridakis   +2 more
doaj   +1 more source

A potential biomarker of cognitive impairment: The olfactory dysfunction and its genes expression

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1884-1897, December 2022., 2022
Abstract Objective Accumulation evidence has reported that olfactory impairment may be an essential clinical marker and predictor of mild cognitive impairment or Alzheimer's disease. Method Participants were enrolled in the population‐based, prospective study in Fuxin county, Liaoning province, China between 2019 and 2021.
Jiayi Song   +11 more
wiley   +1 more source

Can large language models write reflectively

open access: yesComputers and Education: Artificial Intelligence, 2023
Generative Large Language Models (LLMs) demonstrate impressive results in different writing tasks and have already attracted much attention from researchers and practitioners. However, there is limited research to investigate the capability of generative
Yuheng Li   +8 more
doaj  

Lost in Translation: Large Language Models in Non-English Content Analysis [PDF]

open access: yesarXiv, 2023
In recent years, large language models (e.g., Open AI's GPT-4, Meta's LLaMa, Google's PaLM) have become the dominant approach for building AI systems to analyze and generate language online. However, the automated systems that increasingly mediate our interactions online -- such as chatbots, content moderation systems, and search engines -- are ...
arxiv  

Clinical utility of cerebrospinal fluid biomarkers measured by LUMIPULSE® system

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1898-1909, December 2022., 2022
Abstract Objectives Cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) are well‐established in research settings, but their use in routine clinical practice remains a largely unexploited potential. Here, we examined the relationship between CSF biomarkers, measured by a fully automated immunoassay platform, and brain β‐amyloid (Aβ ...
Hisashi Nojima   +9 more
wiley   +1 more source

Cedille: A large autoregressive French language model [PDF]

open access: yesarXiv, 2022
Scaling up the size and training of autoregressive language models has enabled novel ways of solving Natural Language Processing tasks using zero-shot and few-shot learning. While extreme-scale language models such as GPT-3 offer multilingual capabilities, zero-shot learning for languages other than English remain largely unexplored. Here, we introduce
arxiv  

Vascular endothelial‐cadherin as a marker of endothelial injury in preclinical Alzheimer disease

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1926-1940, December 2022., 2022
Abstract Objective Endothelial dysfunction is an early and prevalent pathology in Alzheimer disease (AD). We here investigate the value of vascular endothelial‐cadherin (VEC) as a cerebrospinal fluid (CSF) marker of endothelial injury in preclinical AD.
Rawan Tarawneh   +5 more
wiley   +1 more source

How Good are Commercial Large Language Models on African Languages? [PDF]

open access: yesarXiv, 2023
Recent advancements in Natural Language Processing (NLP) has led to the proliferation of large pretrained language models. These models have been shown to yield good performance, using in-context learning, even on unseen tasks and languages. They have also been exposed as commercial APIs as a form of language-model-as-a-service, with great adoption ...
arxiv  

Harmonizing results of ataxia rating scales: mFARS, SARA, and ICARS

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 2041-2046, December 2022., 2022
Abstract The ever‐increasing body of ataxia research provides opportunities for large‐scale meta‐analyses, systematic reviews, and data aggregation. Because multiple standardized scales are used to quantify ataxia severity, harmonization of these measures is necessary for quantitative data pooling. We applied the modified Friedreich Ataxia Rating Scale
Christian Rummey   +5 more
wiley   +1 more source

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