Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 35 for “"Cancer diagnostics"”.
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Applications of Raman micro-spectroscopy for cancer diagnostics
Bladder cancer has the highest recurrence rate of any cancer, and as with most solid organ malignancies, early diagnosis, detection, and treatment are imperative for good clinical outcomes. Cystoscopy is the cornerstone of bladder diagnostics for real-time visualization of the bladder mucosa. …
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Thermoacoustic Imaging and Spectroscopy for Enhanced Cancer Diagnostics
Early detection of cancer is paramount for improved patient survival. This dissertation presents work developing imaging techniques to improve cancer diagnostics and detection utilizing light and microwave induced thermoacoustic imaging. In the second chapter, the well-established pre-clinical …
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Development of Quantitative Molecular Photoacoustic Imaging For Noninvasive Cancer Diagnostics
… of disease progression. Additionally, because cancerous cells commonly overexpress specific antigens (e.g., folate receptor alpha [FRa] in ovarian cancer), cell receptor expression is an emerging biomarker that can be leveraged to localize malignant cells and guide patient-specific treatment …
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Advancing Ovarian Cancer Diagnostics: Discovering Potential Protein Biomarkers in Extracellular Vesicles
… carcinoma (HGSOC) accounts for ~70% of ovarian cancer cases. Non-invasive, highly specific blood-based tests for pre-symptomatic screening in women are crucial to reducing the mortality associated with this disease. The goal of these studies was to uncover novel biomarkers associated with …
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Versatility of M13 bacteriophage in medicine : vaccine storage and cancer diagnostics
… imaging techniques for early detection of cancer.
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Theory and application of neural and graphical models in early cancer diagnostics
With the recent availability of large training datasets and graphics processing units (GPUs), we address challenges in the application of graphical models and neural networks to prediction sensitive areas such as healthcare. We begin by presenting our work in the context of learning graphical …
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The application of deep learning to nucleus images for early cancer diagnostics
Cancer remains a major concern for patients and early diagnosis can go a long way in treating patients. Current cancer diagnosis usually involves a pathologist looking at tissue slices of patients for specific features associated with cancer prognosis such as nuclear morphometric measures. However, …
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Development of X-ray Fan Beam Coded Aperture Diffraction Imaging for Improving Breast Cancer Diagnostics
… suggested differences between signatures of cancerous and benign tissues, the typical diffraction system architectures do not support fast, large field of view imaging that is necessary for medical applications.In this work, an XRD imaging system was developed that can scan a 15x15 cm2 field …
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Design and development of an electrochemical and infrared spectroscopic medical device for serum-based cancer diagnostics
… significant potential as a triage tool for brain cancer and Hodgkin’slymphoma in primary care settings to better inform clinical decisions and facilitateprompt referral to secondary care, whilst reducing financial and practical constraintsplaced on current diagnostic modalities. Additionally, the …
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Segmentation, co-registration, and correlation of optical coherence tomography and X-ray images for breast cancer diagnostics
… imaging is explored in the context of breast cancer detection and diagnosis because their clinical use could be augmented by OCT. After comparing them, each modality showed its specialized usage. Micro-CT is useful in detecting microcalcifications, the most apparent target of the screening …
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Single Walled Carbon Nanohorns as Photothermal Absorbers, and Incorporation of Spatial Digital Image Analysis into Cancer Diagnostics and Therapy
… Photothermal therapy is an actively researched cancer treatment alternative to chemotherapy and resection due to its potential as a minimally invasive treatment with fewer health complications than high energy radiation therapies. The effectiveness of photothermal therapy may be enhanced with …
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A novel genomic approach to multiple cancer diagnostics using mutations in blood bound EV RNA: Machine Learning Methods For Biomarker Detection and Protein Mutation Assessment
… of biomarkers is critical for early detection of cancers such as pancreatic ductal adenocarcinoma (PDAC), which is often diagnosed in later stages. Extracellular vesicles (EVs) released into the blood from tumour cells make good biomarkers for this purpose by protecting their nucleotide cargo from …
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Role of Multiparametric Magnetic Resonance Imaging/Ultrasound Guided Transrectal Fusion Biopsy for Prostate Cancer Diagnostics // Роля на мултипараметрична ядрено-магнитна резонансна/ултразвуково насочена трансректална фюжън биопсия за диагностика на простатен карцином
Дисертационният труд представлява първото системно научно изследване в България за ролята на фюжън биопсията за диагностика на простатен карцином. В рамките на дисертационния труд са анализирани и систематизирани резултатите от 167 проведени фюжън биопсии в периода от месец юли 2019г. до месец …
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INTEGRATIVE GENOMICS UNVEILS TRANSCRIPTION FACTOR ROLES IN CELLULAR FATEAND SPATIALLY RESOLVED TRIPLE-NEGATIVE BREAST CANCER IMMUNITY CAPACITY
… second project examines triple-negative breast cancer (TNBC), characterized by its aggressiveness and treatment challenges due to tumor heterogeneity. We propose a novel clinical workflow combining spatial transcriptomics, RNA sequencing, and Immunohistochemistry to analyze TNBC, focusing on …
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Construction and characterisation of anti-tumour antibody-based proteins for use in diagnostics and therapeutics
… antibodies (mAbs) as a targeted approach to cancer therapy has stimulated rapid development in this field of research. Due to the complex nature of the tumour microenvironment many novel antibody formats have been designed to expand on the therapeutic capacity of immunoglobulin G …
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Evaluation of nanoscale delivery of miR 216 a/b, miR 217, and gemcitabine in pancreatic cancer cell lines
Pancreatic cancer is one of the most lethal cancers, and mortality has remained largely unchanged despite advances in cancer diagnostics and therapeutics. MicroRNAs (miRNAs), a class of non-coding RNAs that regulate gene expression, have emerged as potential tools for early detection, prognosis, …
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Growth, Characterization, and Surface Modification of Gallium Telluride For Radiation Detection
… nuclear non-proliferation, medical imaging for cancer diagnostics , and high energy nuclear physics research including nuclear power plants.</p>
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RAPID DETECTION OF THE IDH1 R132H MUTATION IN GLIOMAS USING RECOMBINASE POLYMERASE AMPLIFICATION
<p>Glioblastoma is the most common form of brain cancer and patients diagnosed have an average life expectancy of about a year. Northern Michigan University developed an assay to improve diagnosis of the IDH1-R132H mutation. Diagnosis guided resections has potential to extend life expectancy up to …
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Targeting c-Met for therapy
… and invasion, and the worst and final step in cancer progression, metastasis. In addition, c-Met activation in cells was also shown to confer resistance to apoptosis induced by UV damage or chemotherapeutic drugs. c-Met is thus an attractive target for drug development. This study describes the …
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