Results 71 to 80 of about 753,909 (275)

Domain Specific Placebo Response in the Modified Friedreich's Ataxia Rating Scale

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The placebo response in clinical trials in ataxias complicates outcome interpretation and potentially obscures genuine treatment effects. We analyzed placebo group data from past trials in Friedreich Ataxia and observed notable responses in appendicular items, in contrast to minimal changes in axial function, as measured by respective ...
Christian Rummey, Jennifer M. Farmer, David R. Lynch   +2 more
wiley   +1 more source

Determining the clinical applicability of machine learning models through assessment of reporting across skin phototypes and rarer skin cancer types: A systematic review [PDF]

, 2022
Lloyd Steele, Xiang Li Tan, Bayanne Olabi, Jing Gao, Reiko Tanaka, Hywel C Williams   +5 more
openalex   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

The relation between family socioeconomic status and depressive symptoms among children and adolescents in mainland China: a meta-analysis

Frontiers in Public Health
Family socioeconomic status (SES) is widely believed to be associated with depressive symptoms in children and adolescents. The correlation between SES and depressive symptoms changes based on social culture and the economic development level.
Yingnan Niu, Xiaolin Guo, He Cai, Liang Luo, Liang Luo   +4 more
doaj   +1 more source

Shifting assessment paradigms in South African higher education: Evolving towards transformative approaches to policy development.

SOTL in the South, 2023
Assessment policies facilitate the optimisation of learning and academic performance through the provision of fair, equitable, and standardised criteria for evaluation.
Danica Sims, Samuel Lundie, Simone Titus, Rajendran Govender   +3 more
doaj  

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani, Lakshmi Pillai, Reid D. Landes, Aliyah Glover, Shannon Doerhoff, Jennifer Kleiner, Mitesh Lotia, Rohit Dhall, Edgar Garcia‐Rill   +8 more
wiley   +1 more source

Status of Infection Prevention and Control in Tanzanian Primary Health Care Facilities: Learning From Star Rating Assessment

, 2020
Erick S. Kinyenje, Joseph C. Hokororo, Eliudi S. Eliakimu, Talhiya A. Yahya, Bernard Mbwele, Mohamed Mohamed, Gideon Kwesigabo   +6 more
openalex   +1 more source

Machine Learning Accelerates Parameter Optimization and Uncertainty Assessment of a Land Surface Model [PDF]

, 2020
Yohei Sawada
openalex   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source