Results 141 to 150 of about 314 (211)

Development of the safety control framework for shield tunneling in close proximity to the operational subway tunnels: case studies in mainland China. [PDF]

Springerplus, 2016
Li X, Yuan D.
europepmc   +1 more source

Multi‐omics biomarkers for intestinal infection and inflammation in inflammatory bowel disease: Current evidence, translational challenges, and diagnostic opportunities

Interdisciplinary Medicine, EarlyView.
Prospective multi‐site cohorts, multi‐omics profiling, and computational analysis may help identify biomarker patterns across clinical settings in IBD and superimposed infections. With further mechanistic and clinical validation, these signals could support the development of practical multi‐analyte tools for more precise diagnosis and management ...
Ziyu Yang, Jiayi Yao, Xinxian Zhao, Yan Xu, Yifan Chen, Tianchi Chen, Ying Jian, Min Li   +7 more
wiley   +1 more source

Metrnβ drives sepsis immunosuppression via macrophage reprogramming: A novel prognostic biomarker and therapeutic target

Interdisciplinary Medicine, EarlyView.
Metrnβ serves as a novel prognostic biomarker for sepsis and that targeted blockade of the Metrnβ‐c‐Kit axis represents a promising therapeutic strategy for sepsis. Abstract Sepsis is a heterogeneous syndrome critically driven by immunosuppression, yet lacking personalized prognostic markers and therapeutic targets. Here, we provide evidence to support
Xiao Li, Ai Chen, Chen Zhang, Meihong Da, Yonghui Liu, Zhi He, Chenyan Yuan, Shuo Ma, Yuming Yao, Dawen Chen, Meiling Zhou, Zhixin Song, Wenjing Lu, Chun‐Kwok Wong, Guoqiu Wu, Xun Gao   +15 more
wiley   +1 more source

Making the best of a bad sample: Comparison of DNA extraction and quantification methods using sub-optimally stored Ixodes ricinus ticks. [PDF]

PLoS One
Cotes-Perdomo AP, Méndez-Gutierrez K, Alfsnes K, Andreassen ÅK, Jenkins A.   +4 more
europepmc   +1 more source

Mind the Queue: A Case Study in Visualizing Heterogeneous Behavioral Patterns in Livestock Sensor Data Using Unsupervised Machine Learning Techniques. [PDF]

Front Vet Sci, 2020
McVey C, Hsieh F, Manriquez D, Pinedo P, Horback K.   +4 more
europepmc   +1 more source

Children's psychological traits and educational performance: How schools and residential areas moderate how individual traits translate into academic outcomes

JCPP Advances, EarlyView.
Abstract Background The extent to which children's psychological traits influence their educational performance is thought to depend on the fit between the individual and their developmental context. However, this assumption has yet to be empirically tested on a population scale.
Qi Qin, Rosa Cheesman, Espen Moen Eilertsen, Eivind Ystrom   +3 more
wiley   +1 more source

Regenerative Medicine in Orthopedic Surgery: Expanding Our Toolbox. [PDF]

Cureus
Ibrahim A, Gupton M, Schroeder F.
europepmc   +1 more source

Maternal depression across childhood and offspring young adult depression and anxiety: Testing adolescent emotion dynamics as transdiagnostic mechanisms

JCPP Advances, EarlyView.
Abstract Background Early exposure to maternal depression can increase risk for offspring mental health problems across the lifespan. Less is known about the transdiagnostic pathways through which maternal depression influences offspring mental health risk in young adulthood.
Gabrielle R. Rinne, Blakely L. Berryhill, Caroline M. Chandler, Jennifer A. Somers   +3 more
wiley   +1 more source

Prognostic Value of Combined FDG PET and MRI Analysis of Cervical Cancer: A Systematic Review and Meta‐Analysis

Journal of Medical Radiation Sciences, EarlyView.
This systematic review and meta‐analysis synthesised FDG PET/MRWE biomarkers in cervical cancer, including a pooled analysis of the association between metabolic activity (SUV‐based metrics) and tumour diffusion characteristics (ADC measures). Prognostic evidence from the included studies was also analysed to identify PET‐ and MRI‐based parameters, as ...
William Wei, Dominic Ku, Natalie Rutherford   +2 more
wiley   +1 more source

Studying Noncovalent Interactions in Molecular Systems with Machine Learning. [PDF]

Chem Rev
Tretiakov S, Nigam A, Pollice R.
europepmc   +1 more source