Results 91 to 100 of about 580,854 (312)
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
Development of a Nomogram for Predicting the Efficacy of Preoperative Chemotherapy in Osteosarcoma
Qingshan Huang,1,2 Chenglong Chen,1,2 Jingbing Lou,1,2 Yi Huang,1,2 Tingting Ren,1,2 Wei Guo1,2 1Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, People’s Republic of China; 2Beijing Key Laboratory of Musculoskeletal Tumor ...
Huang Q +5 more
doaj
Investigating the abnormalities of deep learning with customized architecture using deep learning 4J [PDF]
You In most cases, doctors and the use of image processing tools can assess the placenta—the actual site of physical birth—during pregnancy. Models built using Machine Learning produce performance metrics such as Accuracy, ROC, Precision, Recall, and F ...
Madhu Bhukya +5 more
doaj +1 more source
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian +6 more
wiley +1 more source
Pengnan Bao,1 Ling Ling,2 Lei Xiang,2 Xueqing Liu,1 Jinwei Zhang,1 Wei Yue1,2 1Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300000, People’s Republic of China; 2Department of Neurology, Tianjin
Bao P +5 more
doaj
Μελέτη των ιδιοτήτων των επιφενειών ROC
Η διάγνωση είναι συνήθως μια ατελής διαδικασία. Η χρήση των καμπύλων ROC είναι διαδεδομένη σε προβλήματα αξιολόγησης διαγνωστικών μεθόδων ταξινόμησης σε δύο ομάδες, στην Ιατρική, την Πληροφορική, τα Χρηματοοικονομικά κ.α.
Μπαντής, Λεωνίδας - Ευάγγελος
core
ABSTRACT Background Hereditary Spastic Paraplegia (HSP) comprises a group of rare genetic diseases characterized by length‐dependent axonal degeneration of the corticospinal tracts and dorsal columns, whose main clinical feature is spastic gait. Pathogenic variants in the SPG4 gene cause Spastic Paraplegia Type 4 (SPG4‐HSP), the most common form of HSP.
Gaia Fattorini +12 more
wiley +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
Harmonization of monetary and multidimensional poverty through a threshold alignment approach
Two principal methodologies for poverty measurement are extensively used internationally: the direct approach, encompassing multidimensional indicators, and the indirect approach, based on monetary metrics.
Novi Andy Dwi Setyawan +2 more
doaj +1 more source
Arterial Spin‐Labeling MRI at the Cortical‐CSF Interface: A Novel Biomarker in Alzheimer Disease
ABSTRACT Background/Objective Arterial spin‐labeling (ASL) MRI can measure perfusion signal adjacent to CSF spaces and may provide information regarding CSF‐adjacent water transport physiology. We developed an automated pipeline to extract cortical‐CSF interface (IF) perfusion for comparison between Alzheimer disease (AD) and cognitively normal ...
Mona Asghariahmadabad +22 more
wiley +1 more source

