Browsing by Subject "Breast cancer"
Now showing items 1-20 of 39
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Adaptive artifact removal for selective multistatic microwave breast imaging signals
(Elsevier, 2017-02-01)Microwave imaging is one of the most promising alternative breast imaging modalities. Early-stage artifact removal is an important signal processing component of a microwave breast imaging system. In this paper, a monostatic ... -
Analysis of cytokine expression in breast cancer
(2014-10-29)Introduction: It has long been recognized that cancer develops in sites of chronic inflammation. Tumours seem to seize molecular pathways seen in wound healing and the inflammatory response and as a consequence appear as ... -
A biological and pharmacological investigation of the unfolded protein response in models of breast cancer
(NUI Galway, 2020-11-20)Breast cancer is the most common malignancy in women worldwide. At the molecular level, breast cancer is a heterogeneous disease. For example, the claudin low subtype of breast cancer is characterised by epithelial-mesenchymal ... -
Characterization of an extendable multi-leaf collimator for clinical electron beams
(Institute of Physics, 2011)An extendable x-ray multi-leaf collimator (eMLC) is investigated for collimation of electron beams on a linear accelerator. The conventional method of collimation using an electron applicator is impractical for conformal, ... -
Confocal microwave imaging and artifact removal algorithms for the early detection of breast cancer
(NUI Galway, 2018-03-29)Microwave imaging is an emerging imaging modality for the early detection of breast cancer. Early-time artifact removal and imaging algorithm are the two most important signal processing components of any Confocal Microwave ... -
Cross platform standardisation of an experimental pipeline for use in the identification of dysregulated human circulating MiRNAs
(Public Library of Science, 2015-09-10)Micro RNAs (miRNAs) are a class of highly conserved small non-coding RNAs that play an important part in the post-transcriptional regulation of gene expression. A substantial number of miRNAs have been proposed as biomarkers ... -
Deep convolution neural network model to predict relapse in breast cancer
(IEEE, 2018-12-17)A mishap in anti-cancer drug distribution is critical in breast cancer patients due to poor prediction model to identify the treatment regime in ER+ve and ER-ve (Estrogen Receptor (ER)) patients. The traditional method for ... -
Economic explorations of equality issues across the care pathway in breast cancer
(2015-02-10)Breast cancer places a high burden on the health system and on society as a whole. Incidence has been on the increase in recent decades and is projected to continue increasing in the coming years. There are constant advances ... -
An Evaluation of the Influence of Perceptions of Breast Cancer on Distress in Irish Women
(2013-04-15)Breast cancer is the most common form of invasive cancer diagnosed in women in Ireland. It can cause distress in healthy women considering their risk of developing the disease, as well as in women who have been diagnosed ... -
Exosome-encapsulated microRNAs as circulating biomarkers for breast cancer
(2016-06-15)Breast cancer is a heterogeneous group of diseases survival from which depends on stage at diagnosis. The development of blood-based biomarkers which may facilitate earlier detection and possibly subtype delineation remains ... -
Factors influencing diagnosis and outcome in HER2 receptor positive breast cancer
(NUI Galway, 2019-02-22)Introduction About 30% of breast cancers are HER2 receptor positive, these breast cancers traditionally had a poor prognosis but the introduction of targeted anti-HER2 therapy (Trastuzumab) has resulted in a vast improvement ... -
Identification and characterisation of germline variants in an Irish cohort with breast cancer
(NUI Galway, 2020-02-10)Breast cancer is the most common female malignancy worldwide, and the second most common cause of cancer-related deaths in women. Twin studies estimate that up to one third of breast cancers are the result of hereditary ... -
Influence of stromal–epithelial interactions on breast cancer in vitro and in vivo
(Springer, 2011-02-23)Stromal cell-secreted chemokines including CCL2 have been implicated in the primary tumor microenvironment, as mediators of tumor cell migration, proliferation, and angiogenesis. Expression of CCL2 and its principal receptor ... -
Influences on quality of prescribing in breast cancer patients
(Mark Allen Healthcare, 2016-10-13)This article presents a discussion on both positive and negative influences on quality of prescribing in clinical practice. It explores how such influences have an impact on breast cancer patients on adjuvant hormonal ... -
Integration of Genetic Biomarkers in Prognostic Models for Breast Cancer Survival
(2014-01-08)The main aim of my PhD is to create a prognostic model for invasive breast cancer patients for disease recurrence and death. The data were collected retrospectively and are comprised of 647 invasive breast cancer patients ... -
Investigating the impact of genomic profiling on breast cancer risk prediction, treatment and outcome
(2018-02-05)It has, for many years, been acknowledged that “breast cancer” is an umbrella term for many genetically and immunophenotypically distinct malignancies of the breast. Treatment paradigms are shifting in direct response to ... -
Investigating the role of IRE1α RNase activity in breast cancer
(NUI Galway, 2018-12-17)Metastatic, drug resistant disease poses the greatest threat to the survival of breast cancer patients. Thus, elucidating and targeting mechanisms which govern this phenotype is a primary goal of the breast cancer field. ... -
Investigation of IRE1/XBP1s pathway and its potential as a therapeutic target in breast cancer
(2015-09-18)X-Box binding protein 1 (XBP1) is an integral component of the unfolded protein response (UPR), a pro-survival mechanism, triggered by the onset of endoplasmic reticulum stress. Activation of the endoplasmic reticulum ... -
Investigation of metallacarboranes as unexpected therapeutics against triple-negative breast cancer cells
(NUI Galway, 2023-10-03)Metallacarboranes have been shown to have very promising properties for biomedical applications, with some derivatives having already shown good results in a number of cancer subtypes. The ability to self-aggregate, ... -
Investigation of nanoscale structural alterations of cell nucleus as an early sign of cancer
(BioMed Central, 2014)Background: The cell and tissue structural properties assessed with a conventional bright-field light microscope play a key role in cancer diagnosis, but they sometimes have limited accuracy in detecting early-stage cancers ...