Results 171 to 180 of about 589,778 (268)
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Mid-range arc therapy for efficient and RBE-robust proton treatment. [PDF]
Wang Q +6 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
Green prompt engineering for sustainable generative AI. [PDF]
Podder S, Date H, Murthy S.
europepmc +1 more source
ABSTRACT Objective The aim of this study was to characterize intellectual and motor function, neurological features including epilepsy, treatment response, and adaptive behavior in patients with pyruvate dehydrogenase complex deficiency (PDCD) in Sweden.
Antri Savvidou +6 more
wiley +1 more source
Next-generation quantum dot solar cells: advances in materials, device engineering and performance optimization. [PDF]
Habiba U +3 more
europepmc +1 more source
Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu +110 more
wiley +1 more source
Brain-inspired energy efficient technologies for next-generation artificial intelligence. [PDF]
Chiel HJ +6 more
europepmc +1 more source
Objective Cam morphology, which is a significant risk factor for hip osteoarthritis, is commonly quantified by the alpha angle (AA). This study aims to explore the potential of the triangular index ratio (TIR) to quantify cam morphology on anteroposterior radiographs by assessing the association between TIR‐defined cam morphology and the development of
Jinchi Tang +7 more
wiley +1 more source
Scalable and energy efficient hybrid cryptographic framework for IoT security using advanced symmetric and asymmetric techniques. [PDF]
Huan B, Xie H.
europepmc +1 more source

