Zobrazeno 1 - 10
of 1 292
pro vyhledávání: '"A. P. Diamantopoulos"'
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
ObjectivesThere is an increasing awareness of the spectrum of phenotypes in giant cell arteritis (GCA). However, there is sparse evidence concerning the phenotypic distribution which may be influenced by both genetic background and the environment. W
Externí odkaz:
https://doaj.org/article/256f74624f1c48a28662f01b01d5b020
Publikováno v:
Arthritis Research & Therapy, Vol 21, Iss 1, Pp 1-10 (2019)
Abstract Background Our objective was to determine the survival and causes of death in a large and well-characterized cohort of patients with giant cell arteritis (GCA). Methods This is a hospital-based, retrospective, observational cohort study incl
Externí odkaz:
https://doaj.org/article/ad1e899193c7404fbfc374843a7371ea
Autor:
Huang, Zhuoyao, Zhang, Nan, Shen, Jingran, Diamantopoulos, Georgios, Hua, Zhengchang, Tziritas, Nikos, Theodoropoulos, Georgios
Digital Twin technology facilitates the monitoring and online analysis of large-scale communication networks. Faster predictions of network performance thus become imperative, especially for analysing Quality of Service (QoS) parameters in large-scal
Externí odkaz:
http://arxiv.org/abs/2405.20815
Autor:
Zhang, Nan, Vergara-Marcillo, Christian, Diamantopoulos, Georgios, Shen, Jingran, Tziritas, Nikos, Bahsoon, Rami, Theodoropoulos, Georgios
Dynamic data-driven Digital Twins (DDTs) can enable informed decision-making and provide an optimisation platform for the underlying system. By leveraging principles of Dynamic Data-Driven Applications Systems (DDDAS), DDTs can formulate computationa
Externí odkaz:
http://arxiv.org/abs/2405.14411
Publikováno v:
Arthritis Research & Therapy, Vol 19, Iss 1, Pp 1-10 (2017)
Abstract Background Giant cell arteritis (GCA) is the most common systemic vasculitis in persons older than 50 years. The highest incidence rates of the disease have been reported in Scandinavian countries. Our objective was to determine the epidemio
Externí odkaz:
https://doaj.org/article/04de83705c644a488b287e71edeab682
Publikováno v:
Arthritis Research & Therapy, Vol 19, Iss 1, Pp 1-10 (2017)
Abstract Ultrasound is used increasingly for diagnosing large vessel vasculitis (LVV). The application of Doppler in LVV is very different from in arthritic conditions. This paper aims to explain the most important Doppler parameters, including spect
Externí odkaz:
https://doaj.org/article/f32a2a8445d145ba8db2ec9861d7fe7d
Publikováno v:
Arthritis Research & Therapy, Vol 20, Iss 1, Pp 1-3 (2018)
Following publication of the original article [1], the authors reported an error.
Externí odkaz:
https://doaj.org/article/6d4031c4f5324d01b117e00c133e79c5
Autor:
Loukas, Lefteris, Stogiannidis, Ilias, Diamantopoulos, Odysseas, Malakasiotis, Prodromos, Vassos, Stavros
Standard Full-Data classifiers in NLP demand thousands of labeled examples, which is impractical in data-limited domains. Few-shot methods offer an alternative, utilizing contrastive learning techniques that can be effective with as little as 20 exam
Externí odkaz:
http://arxiv.org/abs/2311.06102
Autor:
Katia Mangano, Aristidis Diamantopoulos, Natalia G. Vallianou, Theodora Stratigou, Fotis Panagopoulos, Dimitris Kounatidis, Maria Dalamaga, Paolo Fagone, Ferdinando Nicoletti
Publikováno v:
Metabolism Open, Vol 24, Iss , Pp 100320- (2024)
Background: Macrophage migration inhibitory factor (MIF) is a highly conserved cytokine with pleiotropic properties, mainly pro-inflammatory. MIF seems to exert its pro-inflammatory features by binding to its transmembrane cellular receptor CD74. MIF
Externí odkaz:
https://doaj.org/article/f0e12ffd3eb3411684d25498797dd470
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/7abba3e277f54984a9f8b019c24e6f3f