Current trends in biomarker discovery and analysis tools for traumatic brain injury
Abstract Traumatic brain injury (TBI) affects 1.7 million people in the United States each year, causing lifelong functional deficits in cognition and behavior. The complex pathophysiology of neural injury is a primary barrier to developing sensitive and specific diagnostic tools, which consequentia...
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doaj-8af9e8a220164dc69e9702b7472b677d2020-11-25T03:05:26ZengBMCJournal of Biological Engineering1754-16112019-02-0113111210.1186/s13036-019-0145-8Current trends in biomarker discovery and analysis tools for traumatic brain injuryBriana I. Martinez0Sarah E. Stabenfeldt1School of Life Sciences, Arizona State UniversitySchool of Biological and Health Systems Engineering, Ira A. Fulton School of Engineering, Arizona State UniversityAbstract Traumatic brain injury (TBI) affects 1.7 million people in the United States each year, causing lifelong functional deficits in cognition and behavior. The complex pathophysiology of neural injury is a primary barrier to developing sensitive and specific diagnostic tools, which consequentially has a detrimental effect on treatment regimens. Biomarkers of other diseases (e.g. cancer) have provided critical insight into disease emergence and progression that lend to developing powerful clinical tools for intervention. Therefore, the biomarker discovery field has recently focused on TBI and made substantial advancements to characterize markers with promise of transforming TBI patient diagnostics and care. This review focuses on these key advances in neural injury biomarkers discovery, including novel approaches spanning from omics-based approaches to imaging and machine learning as well as the evolution of established techniques.http://link.springer.com/article/10.1186/s13036-019-0145-8Traumatic brain injuryBiomarkersPhage displayOmicsImagingMachine learning |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Briana I. Martinez Sarah E. Stabenfeldt |
spellingShingle |
Briana I. Martinez Sarah E. Stabenfeldt Current trends in biomarker discovery and analysis tools for traumatic brain injury Journal of Biological Engineering Traumatic brain injury Biomarkers Phage display Omics Imaging Machine learning |
author_facet |
Briana I. Martinez Sarah E. Stabenfeldt |
author_sort |
Briana I. Martinez |
title |
Current trends in biomarker discovery and analysis tools for traumatic brain injury |
title_short |
Current trends in biomarker discovery and analysis tools for traumatic brain injury |
title_full |
Current trends in biomarker discovery and analysis tools for traumatic brain injury |
title_fullStr |
Current trends in biomarker discovery and analysis tools for traumatic brain injury |
title_full_unstemmed |
Current trends in biomarker discovery and analysis tools for traumatic brain injury |
title_sort |
current trends in biomarker discovery and analysis tools for traumatic brain injury |
publisher |
BMC |
series |
Journal of Biological Engineering |
issn |
1754-1611 |
publishDate |
2019-02-01 |
description |
Abstract Traumatic brain injury (TBI) affects 1.7 million people in the United States each year, causing lifelong functional deficits in cognition and behavior. The complex pathophysiology of neural injury is a primary barrier to developing sensitive and specific diagnostic tools, which consequentially has a detrimental effect on treatment regimens. Biomarkers of other diseases (e.g. cancer) have provided critical insight into disease emergence and progression that lend to developing powerful clinical tools for intervention. Therefore, the biomarker discovery field has recently focused on TBI and made substantial advancements to characterize markers with promise of transforming TBI patient diagnostics and care. This review focuses on these key advances in neural injury biomarkers discovery, including novel approaches spanning from omics-based approaches to imaging and machine learning as well as the evolution of established techniques. |
topic |
Traumatic brain injury Biomarkers Phage display Omics Imaging Machine learning |
url |
http://link.springer.com/article/10.1186/s13036-019-0145-8 |
work_keys_str_mv |
AT brianaimartinez currenttrendsinbiomarkerdiscoveryandanalysistoolsfortraumaticbraininjury AT sarahestabenfeldt currenttrendsinbiomarkerdiscoveryandanalysistoolsfortraumaticbraininjury |
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