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Relevant bibliographies by topics / Alzheimer’s disease – Diagnosis

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Dissertations / Theses

Academic literature on the topic 'Alzheimer’s disease – Diagnosis'

Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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Dissertations / Theses on the topic "Alzheimer’s disease – Diagnosis"

1

Cisek, Katryna. "Rational Optimization of Small Molecules for Alzheimer’s Disease Premortem Diagnosis." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1338325484.

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2

Schafer, Nicole D. "Targeting Tau Aggregation for the Diagnosis and Treatment of Alzheimer’s Disease." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366219959.

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3

Gonzalez, Murcia Josue David. "Diagnosis and the Role of Chemokine Receptors in Alzheimer's Disease." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8888.

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Alzheimer’s disease (AD) is the most common neurodegenerative disorder and is the main cause of dementia in the elderly population. AD is pathologically characterized by the accumulation of amyloid plaques and neurofibrillary tangles that results in neurodegeneration and loss of memory function. However, diagnosis of AD and characterization of biological mechanisms that lead to pathology and modulate risk for disease has proven to be extremely difficult. Cerebrospinal fluid (CSF) contains critical biomarkers for AD such as levels of amyloid beta (Aβ) phosphorylated-tau (p-tau), total-tau (t-ta

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4

Li, Chunfei. "Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3703.

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A neuroimaging feature extraction model is designed to extract region-based image features whose values are predicted by base learners trained on raw neuroimaging morphological variables. The main objectives are to identify Alzheimer’s disease (AD) in its earliest manifestations, and be able to predict and gauge progression of the disease through the stages of mild cognitive impairment (EMCI), late MCI (LMCI) and AD. The model was evaluated on the ADNI database and showed 75.26% accuracy for the challenging EMCI diagnosis based on the 10-fold cross-validation. Our approach also performed well

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5

Gibson, Allison K. "Examining the Experiences of Caregivers During the Diagnosis of Alzheimer’s Disease and Related Dementias." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275071723.

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6

Gavidia, Bovadilla Giovana. "Study of longitudinal neurodegeneration biomarkers to support the early diagnosis of Alzheimer’s disease." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/666067.

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Alzheimer’s Disease (AD) is a progressive and neurodegenerative disorder characterized by pathological brain changes starting several years before clinical symptoms appear. Earlier and accurate identification of those brain structures changes can help to improve diagnosis and monitoring, allowing that future treatments target the disease in its earliest stages, before irreversible brain damage or mental decline takes place. The brain of AD subjects shrinks significantly as the disease progress. Furthermore, ageing is the major risk factor for sporadic AD, older brains being more susceptible th

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7

Tarantello, Concetta. "The role of subjective memory complaints in predicting cognitive impairment associated with future Alzheimer’s disease: a community based study." University of Sydney, 2009. http://hdl.handle.net/2123/6190.

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Doctor of Philosophy(PhD)<br>In recent years there has been a substantial increase in research examining the role of subjective memory complaints (SMC) in cognitive function and Alzheimer’s disease. These studies have related SMC to many different cognitive outcomes, such as retaining normal cognitive function, a fluctuating cognitive performance and the development of Alzheimer’s disease. Most of these studies have focused on older populations and have employed a limited assessment of cognitive function. This limits the available evidence regarding the clinical utility of SMC. The literat

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8

Dhiman, Kunal. "Utility of CSF biomarkers for the diagnosis, prognosis and assessment of cognitive decline in Alzheimer’s disease." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2020. https://ro.ecu.edu.au/theses/2284.

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Alzheimer’s disease (AD) is a slow and progressive neurodegenerative disorder.With new treatment strategies failing in clinical trials, there is a need to initiate a targeted treatment strategy, by administering the right medication, to the right individual, at the right stage. This concept of precision medicine not only requires diagnosis at the preclinical stage, but a thorough understanding of the stage-associated neuropathological changes that occur along the continuum of AD. Pathophysiological biomarkers indicative of neuropathological changes in the brain are needed to identify the precl

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9

Correia, Marta Sofia da Silva. "Identification of potential Alzheimer’s disease biomarkers in plasma using FTIR." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/13622.

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Mestrado em Biomedicina Molecular<br>Current clinical AD diagnosis criteria used to identify the disorder in patients who have already overt the advanced stage of dementia. This is too late for some kind of successful disease adjustment and consequently, early recognition of AD needs to be improved. Therefore, it is really needed different approaches for discovering new AD biomarkers, such as the application of metabolomics techniques (e.g. FTIR). The potential of FTIR in the clinical field has recently received particular attention, since it uses vibration frequencies of molecules present in

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10

Padilla, Cerezo Berizohar. "Computer-Aided Diagnoses (CAD) System: An Artificial Neural Network Approach to MRI Analysis and Diagnosis of Alzheimer’s Disease (AD)." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1837.

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Alzheimer’s disease (AD) is a chronic and progressive, irreversible syndrome that deteriorates the cognitive functions. Official death certificates of 2013 reported 84,767 deaths from Alzheimer’s disease, making it the 6th leading cause of death in the United States. The rate of AD is estimated to double by 2050. The neurodegeneration of AD occurs decades before symptoms of dementia are evident. Therefore, having an efficient methodology for the early and proper diagnosis can lead to more effective treatments. Neuroimaging techniques such as magnetic resonance imaging (MRI) can detect changes

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