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Total 12 results found since Jan 2013.

Abstracts of Presentations at the Association of Clinical Scientists 143 < sup > rd < /sup > Meeting Louisville, KY May 11-14,2022
Conclusion: These assays are suitable for routine diagnostic. The UltraFast NextGenPCR is the fastest with average time (30mins), followed by Agilent (2 hrs) and MassArray (6hrs). Upon completion of this activity, participants should be able to examine, measure and compare results from different assays for SARS detection, evaluate and diagnose accurately, as well as being able to plan, organize and recommend a diagnostic procedure for diagnostic laboratory. Key words: SARS-CoV-2, RNA extraction, RT-PCR, limit of detection, quantification cycle, COVID-19, in vitro diagnostic tests, Agilent, Massarray, Ultrafast. [20] From t...
Source: Annals of Clinical and Laboratory Science - July 1, 2022 Category: Laboratory Medicine Source Type: research

The JAK/STAT Pathway in Skeletal Muscle Pathophysiology
Conclusion and Perspectives The IL-6/JAK/STAT signaling cascade plays a dominant role in skeletal muscle pathophysiology. IL-6 autocrine, paracrine, and endocrine functions assign to its downstream effectors pivotal importance in skeletal muscle-wasting-associated diseases and other multiple system diseases where muscle acts in communication with other organs. Targeting the components of the JAK/STAT pathway recently emerged as a strategic approach for the treatment of inflammatory diseases and human cancer. This review highlights the opposite outcomes on muscle biology caused by the amount of local and systemic release ...
Source: Frontiers in Physiology - April 29, 2019 Category: Physiology Source Type: research

An Ensemble Strategy to Predict Prognosis in Ovarian Cancer Based on Gene Modules
Conclusion Considering the heterogeneity and complexity of ovarian cancer, we demonstrated a new method to predict the prognosis of ovarian cancer based on the clustering information and gene co-expression network in each subtype of cancer patients. We divided the ovarian cancer data into three subtypes by clustering analysis and we found that the survival risks in these three subtypes were significantly different. We mined the important communities based on the co-expression networks in each subtype. There are 50, 73, and 92 communities in the first, second and third subtype, respectively. Next, we constructed a new ense...
Source: Frontiers in Genetics - April 23, 2019 Category: Genetics & Stem Cells Source Type: research