Results 111 to 120 of about 2,402,901 (306)

Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte   +13 more
wiley   +1 more source

Language-controllable programmable metasurface empowered by large language models

open access: yesNanophotonics
Programmable metasurface has become a prominent tool in various areas including control, communication, computing, and so on, due to its unique capability in the electromagnetic (EM) manipulation. However, it is lack of the intelligence in the sense that
Hu Shengguo   +4 more
doaj   +1 more source

Patient Centric Summarization of Radiology Findings using Large Language Models [PDF]

open access: gold
Amara Tariq   +8 more
openalex   +1 more source

Examining Large Pre-Trained Language Models for Machine Translation: What You Don’t Know about It [PDF]

open access: gold, 2022
Lifeng Han   +4 more
openalex   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

Large-scale moral machine experiment on large language models.

open access: yesPLoS ONE
The rapid advancement of Large Language Models (LLMs) and their potential integration into autonomous driving systems necessitates understanding their moral decision-making capabilities.
Muhammad Shahrul Zaim Bin Ahmad   +1 more
doaj   +1 more source

Watermarking for Large Language Models: A Survey

open access: yesMathematics
With the rapid advancement and widespread deployment of large language models (LLMs), concerns regarding content provenance, intellectual property protection, and security threats have become increasingly prominent.
Zhiguang Yang, Gejian Zhao, Hanzhou Wu
doaj   +1 more source

Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events [PDF]

open access: green
Yuanyuan Tian   +7 more
openalex   +1 more source

Acoustic Measures Capture Speech Dysfunction in Spinocerebellar Ataxia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCA) are hereditary cerebellar degenerative disorders with a common feature of dysarthria, involving impaired phonatory and articulatory control of speech, thereby affecting social communication. In this study, we investigated whether acoustic measures could objectively measure speech dysfunction and identify
Zena Fadel   +5 more
wiley   +1 more source

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