Results 151 to 160 of about 53,819 (266)
The Perils of Autobiography: Evidence, Meaning, Reliability, and Context in the Historiographical Canon on Carl Ransom Rogers, 1950s-2020s. [PDF]
Fierro C.
europepmc +1 more source
Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease
ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay +15 more
wiley +1 more source
Interpretable deep learning for rotator cuff calcific tendinopathy diagnosis: a multi-center study. [PDF]
Bautista JM +5 more
europepmc +1 more source
ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
wiley +1 more source
Clinical evaluation of a motion correction software based on partial angle reconstruction in coronary CT angiography. [PDF]
Caballo M +7 more
europepmc +1 more source
ABSTRACT Objective CDKL5 deficiency disorder (CDD) is a rare, severe developmental and epileptic encephalopathy. There is a pressing need to develop effective and sustainable therapeutic strategies. We aimed to investigate the causal association between febrile episodes and epileptic seizures for therapeutic implications in CDD patients.
Siyi Wang +13 more
wiley +1 more source
Recurrent myocarditis as a clinical gateway to desmoplakin cardiomyopathy: a case report. [PDF]
Reyes T RE +3 more
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
Landscape of Immune Remodeling and NAP1L1-Driven Epithelial Reprogramming in Gastric Cancer Metastasis. [PDF]
Sun M, Wang Y, Zhang Y, Wang X.
europepmc +1 more source

