scholarly journals The Current State of Traumatic Brain Injury Biomarker Measurement Methods

Biosensors ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 319
Author(s):  
Alyse D. Krausz ◽  
Frederick K. Korley ◽  
Mark A. Burns

Traumatic brain injury (TBI) is associated with high rates of morbidity and mortality partially due to the limited tools available for diagnosis and classification. Measuring panels of protein biomarkers released into the bloodstream after injury has been proposed to diagnose TBI, inform treatment decisions, and monitor the progression of the injury. Being able to measure these protein biomarkers at the point-of-care would enable assessment of TBIs from the point-of-injury to the patient’s hospital bedside. In this review, we provide a detailed discussion of devices reported in the academic literature and available on the market that have been designed to measure TBI protein biomarkers in various biofluids and contexts. We also assess the challenges associated with TBI biomarker measurement devices and suggest future research directions to encourage translation of these devices to clinical use.

2021 ◽  
Vol 108 ◽  
pp. 103309
Author(s):  
Tatiane Tobias da Cruz ◽  
José A. Perrella Balestieri ◽  
João M. de Toledo Silva ◽  
Mateus R.N. Vilanova ◽  
Otávio J. Oliveira ◽  
...  

2009 ◽  
Vol 4 (4) ◽  
pp. 274-284 ◽  
Author(s):  
C. X. Wang ◽  
A. Stroink ◽  
J. M. Casto ◽  
K. Kattner

Hyperthermia frequently occurs in stroke patients. Hyperthermia negatively correlates with clinical outcome and adversely effects treatment regiments otherwise successful under normothermic conditions. Preclinical studies also demonstrate that hyperthermia converts salvageable penumbra to ischaemic infarct. The present article reviews the knowledge accumulated from both clinical and preclinical studies about hyperthermia and ischaemic brain injury, examines current treatment strategies and discusses future research directions.


Author(s):  
Beeta Y. Homaifar ◽  
Melodi Billera ◽  
Sean M. Barnes ◽  
Nazanin Bahraini ◽  
Lisa A. Brenner

The care and study of patients with traumatic brain injury (TBI) and suicidal ideation/behavior presents unique challenges to both clinicians and researchers. In this chapter, background information regarding TBI (i.e., definition, severity classifications, epidemiology, assessment, and common postinjury sequelae/psychiatric disorders) are presented to provide context for a discussion of the complicated relationships between brain injury and suicidal thoughts and behaviors. The potential contribution of executive dysfunction (e.g., impairment in reasoning and/or decision-making) is reviewed. In addition, the idea that propensity toward or against engaging in risky behavior can be used to increase understanding regarding the relationship between TBI and suicidal ideation and behaviors is discussed. Last, clinical challenges and future research directions are presented.


2020 ◽  
Vol 13 (3) ◽  
pp. 795-848
Author(s):  
Alina Köchling ◽  
Marius Claus Wehner

AbstractAlgorithmic decision-making is becoming increasingly common as a new source of advice in HR recruitment and HR development. While firms implement algorithmic decision-making to save costs as well as increase efficiency and objectivity, algorithmic decision-making might also lead to the unfair treatment of certain groups of people, implicit discrimination, and perceived unfairness. Current knowledge about the threats of unfairness and (implicit) discrimination by algorithmic decision-making is mostly unexplored in the human resource management context. Our goal is to clarify the current state of research related to HR recruitment and HR development, identify research gaps, and provide crucial future research directions. Based on a systematic review of 36 journal articles from 2014 to 2020, we present some applications of algorithmic decision-making and evaluate the possible pitfalls in these two essential HR functions. In doing this, we inform researchers and practitioners, offer important theoretical and practical implications, and suggest fruitful avenues for future research.


Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5665
Author(s):  
William Taylor ◽  
Qammer H. Abbasi ◽  
Kia Dashtipour ◽  
Shuja Ansari ◽  
Syed Aziz Shah ◽  
...  

COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no approved vaccination or treatment, governments around the world have issued guidance to their citizens to remain at home in efforts to control the spread of the disease. The goal of controlling the spread of the virus is to prevent strain on hospitals. In this paper, we focus on how non-invasive methods are being used to detect COVID-19 and assist healthcare workers in caring for COVID-19 patients. Early detection of COVID-19 can allow for early isolation to prevent further spread. This study outlines the advantages and disadvantages and a breakdown of the methods applied in the current state-of-the-art approaches. In addition, the paper highlights some future research directions, which need to be explored further to produce innovative technologies to control this pandemic.


2019 ◽  
Vol 11 (9) ◽  
pp. 2664 ◽  
Author(s):  
Stefano Armenia ◽  
Rosa Maria Dangelico ◽  
Fabio Nonino ◽  
Alessandro Pompei

Today, more than ever, achieving sustainability of business activities, intertwining social, economic, and environmental perspectives, is one of the most challenging objectives for companies. Project management processes are no exception. This paper aims to contribute to the current research knowledge through a systematic review of the literature on the integration of project management and sustainability. Specifically, the aim was to clarify the research domains of sustainable project management, and to understand the current state of development and the future research directions. Results indicate that academic literature about this topic is still in its infancy, but that scholars’ attention is growing, opening new research directions. Based on the literature review results, we propose a new conceptual framework linking five key dimensions of sustainable project management: corporate policies and practices, resource management, life cycle orientation, stakeholders’ engagement, and organizational learning.


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