Results 261 to 270 of about 144,950 (353)

Validation of a Multiparametric, Automated, Macroarray‐Based Assay for the Detection of Autoantibodies in Autoimmune Liver Disease

open access: yesJournal of Clinical Laboratory Analysis, EarlyView.
The assay exploited a multiparametric and fully automated device applied to CHORUS EVO to validate that the CHORUS Macroarray Liver Diseases kit is a novel procedure for detecting autoantibodies of AIH and PBC. The assay resulted as linear, accurate, sensitive, specific, and able to distinguish between PBC and AIH.
Luigi Raganelli   +14 more
wiley   +1 more source

Proteome-scale autoantibody profiling in PSC: Associations with clinical phenotypes and evidence for neuroendocrine deregulations. [PDF]

open access: yesJHEP Rep
Cornillet M   +18 more
europepmc   +1 more source

Characterization of Pulmonary Functional Abnormalities in Systemic Sclerosis Using Xenon MRI

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Xenon MRI is increasingly used to evaluate patients with interstitial lung disease (ILD) and pulmonary hypertension (PH), both of which are common manifestations of systemic sclerosis (SSc). As such, Xe‐MRI may be suited to interrogate lung function impairment in SSc.
Dawson Shaver   +11 more
wiley   +1 more source

Associations between residential greenness, land cover and risk of celiac disease in genetically at‐risk children: Celiac Prediction in Skåne study

open access: yesJournal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Our aim was to study the association between residential land cover and greenness during childhood and risk of developing celiac disease (CeD). Methods The Celiac Prediction in Skåne study prospectively followed 5969 human leukocyte antigen (HLA)‐genotyped children born 2001–2004 who were screened for CeD at ages 3, 9, and 15 years ...
Michaela Boström   +6 more
wiley   +1 more source

Accuracy of glutamic acid decarboxylase antibodies for the identification of adult-onset type 1 diabetes mellitus: a systematic review and meta-analysis. [PDF]

open access: yesFront Endocrinol (Lausanne)
Shao MM   +8 more
europepmc   +1 more source

The needle study: Machine learning as a new method for case‐finding in celiac disease

open access: yesJournal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Despite a well‐defined diagnostic work‐up, uncertainties persist regarding celiac disease (CeD) detection strategies in the general population. Machine learning (ML) algorithms offer promise in aiding medical decision‐making on clinical data.
Chiara Maria Trovato   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy