[18F]Fluorodeprenyl‐D2 PET as a Tool to Monitor Disease Activity in GAD65‐Ab Autoimmune Encephalitis
ABSTRACT Objective To evaluate [18F]fluorodeprenyl‐D2 ([18F]F‐DED) positron‐emission tomography (PET) imaging as a biomarker of disease activity in autoimmune encephalitis (AIE) associated with glutamic acid decarboxylase 65 (GAD65) antibodies. Methods [18F]F‐DED PET was performed in 25 GAD65‐AIE patients and 8 controls using dynamic (0–60 min) and ...
Julia S. Dorneich +19 more
wiley +1 more source
SASBDB reaches 5000 data sets: empowering open science and next-generation SAS analysis. [PDF]
Blanchet CE +4 more
europepmc +1 more source
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
MetaXtract: Extracting Metadata from Raw Files for FAIR Data Practices and Workflow Optimisation
Lutfi A +3 more
europepmc +1 more source
FAIRness and data quality assessment of urban air quality monitoring datasets: Perspective on insights from F-UJI evaluation. [PDF]
Syed MSB, Kelly P, Stacey P, Berry D.
europepmc +1 more source
ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
wiley +1 more source
Accounting for cross-registration in monitoring transparency in clinical trials: a cross-sectional study of trials at German university medical centres. [PDF]
Fernandez L +7 more
europepmc +1 more source
Toward total recall: Enhancing data FAIRness through AI-driven metadata standardization. [PDF]
Sundaram SS, Gonçalves RS, Musen MA.
europepmc +1 more source
Toward a Domain-Overarching Metadata Schema for Making Health Research Studies FAIR (Findable, Accessible, Interoperable, and Reusable): Development of the NFDI4Health Metadata Schema. [PDF]
Abaza H +29 more
europepmc +1 more source

