[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
Deep learning and eye tracking: Convolutional neural networks provide converging evidence for experience-driven attention within visual search. [PDF]
Crotty N +5 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
A user behavior inertia based spatio temporal next POI recommendation model. [PDF]
Zhang K, Chu D, Tu Z, Hong Z.
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
Improving genomic prediction in wheat with random regression models with genotype-specific phenology-driven environmental covariates. [PDF]
Dhakal R +9 more
europepmc +1 more source
ABSTRACT Background X‐linked adrenoleukodystrophy (X‐ALD) is a neurometabolic disorder caused by pathogenic variants in ABCD1, leading to slowly progressive spinal cord disease in nearly all affected men. Sensitive biomarkers to quantify disease severity and predict progression are needed for clinical care and trial design.
Eda G. Kabak +4 more
wiley +1 more source
AI model predicts patient outcomes from surgical gestures and provides insights into explainability. [PDF]
Heard JR +15 more
europepmc +1 more source
Establishment and evaluation of a predictive scoring system for successful decannulation of tracheostomy in neurosurgery patients. [PDF]
Hu Y, Mao L, Liu Q, Jiang Y, Li S.
europepmc +1 more source
Risk factors and prediction model for post-polypectomy metachronous colorectal adenoma. [PDF]
Ma J +8 more
europepmc +1 more source

