Results 251 to 260 of about 29,946,329 (341)

Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen, Wenting Huang, Yitian Liu, Xuan Chen, Buyu Ke, Qian Shen, Hanyu Cai, Jing Sun, Yan Li, Yungang Cao, Beilei Hu, Keyang Chen   +11 more
wiley   +1 more source

Integrating system dynamics and machine learning for environmental impact analysis of building materials in the demolition process. [PDF]

Sci Rep
Ajayi BO, Bamisaye ME, Macedo HMM, Sereewatthanawut I.   +3 more
europepmc   +1 more source

Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte, Lucy Norcliffe‐Kaufmann, Maria Luisa Cotrina, Zenith Khan, Kaia Dalamo, Patricio Millar Vernetti, Matthew Lawless, Elisabetta Morini, Monica Salani, Marla Weetall, Jana Narasimhan, Agostino G. Rocha, Susan A. Slaugenhaupt, Horacio Kaufmann   +13 more
wiley   +1 more source

Modelling and evaluating wood supply chain resilience factors based on system dynamics. [PDF]

Sci Rep
Ma C, Zhang L, Gao X, Liu C.
europepmc   +1 more source

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

Self-sufficiency in the healthcare workforce: a system dynamics model of the domestic and foreign educated nursing and midwifery workforce in Ireland. [PDF]

Hum Resour Health
Hynes T, Caulfield P, O'Connor P, Cullinan J.   +3 more
europepmc   +1 more source

Olink Proteomics Analysis Reveals Heterogeneous Responses to FcRn Blockade in Anti‐AChR Antibody‐Positive Myasthenia Gravis: FGF‐19 as a Novel Biomarker

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to systematically observe the clinical manifestations, immune cell subsets, and dynamic changes in serological indicators in patients with myasthenia gravis (MG) before and after efgartigimod (EFG) treatment. Methods We analyzed the baseline data, laboratory parameters, and lymphocyte subset proportions in MG ...
Tiancheng Luo, Deyou Peng, Zhouao Zhang, Mingjin Yang, Xinyan Guo, Tianyu Ma, Xiaoyu Huang, Mingming Xu, Linlin Fu, Yong Zhang   +9 more
wiley   +1 more source

Structures and systems that promote nutrition security and climate adaptation in Puerto Rico: results from community-based system dynamics. [PDF]

Public Health Nutr
Colón-Ramos U, Guerra Uccelli N, Meléndez-Colón O, García Blanco AM, Ostolaza Santiago C, Rosas Pérez C, Gomez Andújar N, Tavárez H, Poirier L, Gittelsohn J, Long MW.   +10 more
europepmc   +1 more source

Increasing timely access to evidence-based treatment for opioid use disorder using novel digital health and system dynamics modelling approaches: a study protocol. [PDF]

BMJ Open
Canty T, S Sabounchi N, Heimer R, Pantalon M, Ryus C, Buchanan L, Grewal M, Maffei J, D'Onofrio G, Heckmann R.   +9 more
europepmc   +1 more source