Results 81 to 90 of about 24,115,596 (260)

Validation of a Cellular Imaging‐Based Method as a Potential Biomarker for SPG4 Hereditary Spastic Paraplegia

Annals of Clinical and Translational Neurology, EarlyView.
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, Valerio Licursi, Gianmarco Dalla Zanna, Flavio Dal Canto, Melissa Barghigiani, Nunzio Setola, Salvatore Rossi, Antonio Funcis, Filippo M. Santorelli, Gabriella Silvestri, Carlo Casali, Francesca Sardina, Cinzia Rinaldo   +12 more
wiley   +1 more source

Data for: Quantitative Analysis of Multimodal Speech Data

, 2018
Data for "Quantitative Analysis of Multimodal Speech Data," including raw data, analysis scripts, and example optical flow videos. This data can be used to replicate the analyses in the manuscript according to the 'steps to reproduce ...
Gordon Danner, S (via Mendeley Data)
core   +1 more source

GTrXL-SAC-Based Path Planning and Obstacle-Aware Control Decision-Making for UAV Autonomous Control

Drones
Research on UAV (unmanned aerial vehicle) path planning and obstacle avoidance control based on DRL (deep reinforcement learning) still faces limitations, as previous studies primarily utilized current perceptual inputs while neglecting the continuity of
Jingyi Huang, Yujie Cui, Guipeng Xi, Shuangxia Bai, Bo Li, Geng Wang, Evgeny Neretin   +6 more
doaj   +1 more source

Metabolic and Fluid Biomarkers Support Microglia Activation in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Amyotrophic lateral sclerosis is an incurable neurodegenerative disease involving motor neuron degeneration and metabolic and immune dysfunction. We combined clinical data, cerebrospinal fluid biomarkers and fluorodeoxyglucose positron emission tomography with magnetic resonance imaging to investigate the role of reactive microglia in disease ...
Matteo Zanovello, Francesca Serani, Alen Bebeti, Federica Paredi, Giulia Quadrio, Andrea Fortuna, Giacomo Maria Minicuci, Elena Pegoraro, Annachiara Cagnin, Diego Cecchin, Gianni Sorarù   +10 more
wiley   +1 more source

Towards an intelligent framework for multimodal affective data analysis [PDF]

, 2015
An increasingly large amount of multimodal content is posted on social media websites such as YouTube and Facebook everyday. In order to cope with the growth of such so much multimodal data, there is an urgent need to develop an intelligent multi-modal ...
Hussain, Amir, Poria, Soujanya, Huang, Guang-Bin, Cambria, Erik   +3 more
core   +1 more source

Enhancing bronchopulmonary dysplasia prediction in preterm infants using artificial intelligence and multimodal data integration

Frontiers in Pediatrics
Bronchopulmonary dysplasia (BPD) remains a prevalent respiratory condition among preterm infants, with its development influenced by a combination of perinatal and postnatal factors.
Xinkai Zhang, Xinkai Zhang, Anping Wang, Rongwei Xu, Rongwei Xu, Dongyun Liu   +5 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Deep learning in renal ultrasound: applications, challenges, and future outlook

Frontiers in Oncology
Kidney disease poses a significant global health burden, often progressing to end-stage renal disease with serious complications. Renal ultrasound, which is real-time, accessible, and noninvasive, serves as a primary imaging tool for evaluating renal ...
Yong Zhang, Yong Zhang, Yao Hou, Tingting Qiu, Yan Zhuang, Ke Chen, Wenwu Ling, Yan Luo, Jiangli Lin   +8 more
doaj   +1 more source

Health Care Use Among Patients Presenting to Emergency Department for Gout Flares in Ontario, Canada: A Population‐Based Health Systems Analysis

Arthritis Care &Research, EarlyView.
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada, between 2014 and 2023.
Timothy S. H. Kwok, Samantha Morais, William K. Silverstein, Clare L. Atzema, Gregory Choy, Priyanka Chandratre, Ping Li, Jessica Widdifield   +7 more
wiley   +1 more source

A Feature Fusion Framework for Improved Autism Spectrum Disorder Prediction Using sMRI and Phenotype Information

Journal of Sensor and Actuator Networks
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by a wide range of symptoms and severity, posing significant challenges for accurate diagnosis.
Bhagya Lakshmi Polavarapu, V. Dinesh Reddy, Mahesh Kumar Morampudi, Md Muzakkir Hussain, Ashu Abdul   +4 more
doaj   +1 more source