Thesis. Dec 2013; Clemens Zwergel; Today, cancer is becoming a major public health problem with 12.7 million new cancer cases and 7.6 million cancer deaths registered in 2008. ... Cancer Diagnosis ...
Theses & Dissertations: Cancer Research
Functions and regulation of Ron receptor tyrosine kinase in human pancreatic cancer and its therapeutic applications, Yi Zou. Theses/Dissertations from 2011 PDF. Coordinate detection of new targets and small molecules for cancer therapy, Kurt Fisher. PDF. The role of c-Myc in pancreatic cancer initiation and progression, Wan-Chi Lin. PDF
PDF Potential Novel Molecular Targets for Breast Cancer Diagnosis and Treatment
subtypes of breast cancer do not express ERα and/or HER2 and additionally, there is no perfect correlation between these biomarkers and the response to targeted treatment. Therefore, the overall aim of this thesis was to evaluate potential new biomarkers for breast cancer diagnosis and to improve therapeutic strategies in breast cancer.
Technological Advancements in Cancer Diagnosis and Prognosis
Abstract. Cancer diagnostics and prognosis, propelled by cutting-edge technologies, navigates the evolution from traditional methods to innovative approaches that revolutionize how we detect and predict cancer. The discussion encompasses various facets of modern diagnosis, starting with fluid biopsy and molecular profiling, which offer ...
Pathways to ovarian cancer diagnosis: a qualitative study
The median age at ovarian cancer diagnosis was 61.5 years (range, 29-78 years), and the majority of participants (11/14) were diagnosed with advanced-stage disease. The median time from first symptom to initiation of treatment was 2.8 months (range, 19 days to 4.7 years). The appraisal and help-seeking intervals contributed the greatest ...
PDF Targeted Therapies for the Treatment of Metastatic Breast Cancer
In the United States, 13% of women are diagnosed with invasive breast cancer in their lifetime. and 6% of breast cancer patients have metastatic disease at initial diagnosis [1]. Moreover, nearly. 30% of women with early stage breast cancer will develop metastatic disease [2]. About 42,000.
A Quest for New Cancer Diagnosis, Prognosis and Prediction Biomarkers
Biosensors in the Diagnosis, Prognosis and Prediction of Cancer. Conventional methods for cancer diagnosis include ultrasound, nuclear magnetic resonance and, biopsy, but these techniques require expensive equipment and highly qualified personnel, and, in the case of biopsy, is an invasive technique that represents a risk for the patient.
Acknowledging cancer as a family disease: A systematic review of family
1. Introduction. A diagnosis of cancer will influence the person with cancer and their family over a long period of time (Finley, 2018).The supportive role of family in the care of person with cancer is well recognized, including both physical and psychosocial support (Gilliss et al., 2019), and may begin even before the cancer diagnosis is made, and continue through different trajectories of ...
Designing deep learning studies in cancer diagnostics
Numerous studies have reported on the applicability of deep learning in cancer diagnostics, including prediction of diagnosis, prognosis and treatment response 3, 4, 5. Although many of these ...
Detection and Diagnosis of Breast Cancer Using a Bayesian ...
Breast cancer is the most common cancer found among women around the world. In the year 2018 alone, there was a report of over two million cases accounting for 25.4% of all new cases of cancer in women [].As breast cancer rates increase, early detection and diagnosis are very important for early intervention and treatments.
Cancer Diagnosis Using Deep Learning: A Bibliographic Review
The third part of this manuscript compiles the successfully applied deep learning models for different types of cancers. Considering the length of the manuscript, we restrict ourselves to the discussion of breast cancer, lung cancer, brain cancer, and skin cancer. The purpose of this bibliographic review is to provide researchers opting to work ...
Breast Cancer; Discovery of Novel Diagnostic Biomarkers, Drug
1 Introduction. Breast cancer is a kind of cancer that affects mostly females and is a primary factor of mortality worldwide (Wu and Chu, 2021).It is a heterogeneous disease with six distinct molecular subtypes: luminal A (progesterone receptors (PR)+, estrogen receptor (ER)+, Human epidermal growth factor receptor 2 (HER2)-, and Ki67), luminal B (ER+, HER+/−, and Ki67+), human epidermal ...
Tumor biomarkers for diagnosis, prognosis and targeted therapy
Tumor biomarkers, the substances which are produced by tumors or the body's responses to tumors during tumorigenesis and progression, have been demonstrated to possess critical and encouraging ...
"Computer aided diagnosis system for breast cancer using deep learning
Baccouche, Asma, "Computer aided diagnosis system for breast cancer using deep learning." (2022). Electronic Theses and Dissertations. Paper 3931. The recent rise of big data technology surrounding the electronic systems and developed toolkits gave birth to new promises for Artificial Intelligence (AI). With the continuous use of data-centric ...
Breast Cancer Prediction: A Comparative Study Using Machine ...
Early detection of disease has become a crucial problem due to rapid population growth in medical research in recent times. With the rapid population growth, the risk of death incurred by breast cancer is rising exponentially. Breast cancer is the second most severe cancer among all of the cancers already unveiled. An automatic disease detection system aids medical staffs in disease diagnosis ...
Cancers
Molecular diagnostic tests help clinicians understand the underlying biological mechanisms of their patients' breast cancer (BC) and facilitate clinical management. Several tissue-based mRNA tests are used routinely in clinical practice, particularly for assessing the BC recurrence risk, which can guide treatment decisions. However, blood-based mRNA assays have only recently started to emerge.
Cancer
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD) ... Biological and lifestyle predictors of survival in head and neck cancer. Author: Beynon, R. A., ... Genetic and Environmental Contributions to Trajectories of Depressive Symptoms Author: Kwong, A. S. F., 23 Jan 2020.
Dissertation or Thesis
Eligible participants included persons who had been diagnosed with cancer or a caregiver of someone diagnosed with cancer. In addition, key informant interviews were conducted with cancer health care professionals providing cancer care in the selected counties. ... Deposit your senior honors thesis. Scholarly Journal, Newsletter or Book ...
Imaging and cancer: A review
Summary. Multiple biomedical imaging techniques are used in all phases of cancer management. Imaging forms an essential part of cancer clinical protocols and is able to furnish morphological, structural, metabolic and functional information. Integration with other diagnostic tools such as in vitro tissue and fluids analysis assists in clinical ...
Dissertations / Theses: 'Prostate
Ultrasound-based cancer diagnosis could improve the current breast and prostate cancer diagnosis methods. In this thesis, an ultrasound-based approach is evaluated as a method for breast and prostate cancer diagnosis. Ultrasound RF time series along with a comprehensive machine learning framework is used for accurate classification of tissue ...
New thesis explores cancer treatment that can prevent relapse
Acute myelocytic leukemia (AML). Credit: Unsplash/CC0 Public Domain. Madeleine Lehander from the Hematology Unit/HERM, at the Department of Medicine, Huddinge (MedH), is defending her thesis ...
Stiffness and viscosity of cells found to differ in cancer and other
He received his PhD on 26 March for the thesis "Single-cell mechanics for disease biology and pharmacology." A resulting article was published by Materials Advances.. Within a tumor, cells grow ...
Ai Meet Bioinformatics: Interpreting Biomedical Data Using Deep Learning
Artificial Intelligence driven approaches, especially based on deep learning algorithms, provided an alternative perspective in summarizing the common features in large-scale and complex datasets and aided the human professions in discovering novel features in cross-domain research. In this dissertation, the author proposed his research of developing AI-driven algorithms to reveal the real ...
9 Undergraduate Research Projects That Wowed Us This Year
Campus and Community. Research Research School of Global Public Health Tandon School of Engineering College of Arts and Science Arts and Science Liberal Studies Gallatin School of Individualized Study Leonard N. Stern School of Business NYU Abu Dhabi. The telegraph. The polio vaccine. The bar code. Light beer.
Motivation for Healing in Cancer Patients: A Qualitative Study
This study was part of a PhD thesis entitled development and psychometric evaluation of motivation for healing questionnaire in cancer patients that was conducted from November 2019 to November 2020 in the Kashan University of Medical Sciences, Iran. ... The study participants were patients who had been diagnosed with cancer by a physician. The ...
Journal of Materials Chemistry B
Developing synthetic materials, with enzyme-like molecular recognition capabilities, as functional receptors in electronic or electrochemical devices for the timely diagnosis of major diseases is a great challenge. Herein, we present the development of Fe/MIPpy nanozymes, characterized as enzyme-like artificial rec
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Thesis. Dec 2013; Clemens Zwergel; Today, cancer is becoming a major public health problem with 12.7 million new cancer cases and 7.6 million cancer deaths registered in 2008. ... Cancer Diagnosis ...
Functions and regulation of Ron receptor tyrosine kinase in human pancreatic cancer and its therapeutic applications, Yi Zou. Theses/Dissertations from 2011 PDF. Coordinate detection of new targets and small molecules for cancer therapy, Kurt Fisher. PDF. The role of c-Myc in pancreatic cancer initiation and progression, Wan-Chi Lin. PDF
subtypes of breast cancer do not express ERα and/or HER2 and additionally, there is no perfect correlation between these biomarkers and the response to targeted treatment. Therefore, the overall aim of this thesis was to evaluate potential new biomarkers for breast cancer diagnosis and to improve therapeutic strategies in breast cancer.
Abstract. Cancer diagnostics and prognosis, propelled by cutting-edge technologies, navigates the evolution from traditional methods to innovative approaches that revolutionize how we detect and predict cancer. The discussion encompasses various facets of modern diagnosis, starting with fluid biopsy and molecular profiling, which offer ...
The median age at ovarian cancer diagnosis was 61.5 years (range, 29-78 years), and the majority of participants (11/14) were diagnosed with advanced-stage disease. The median time from first symptom to initiation of treatment was 2.8 months (range, 19 days to 4.7 years). The appraisal and help-seeking intervals contributed the greatest ...
In the United States, 13% of women are diagnosed with invasive breast cancer in their lifetime. and 6% of breast cancer patients have metastatic disease at initial diagnosis [1]. Moreover, nearly. 30% of women with early stage breast cancer will develop metastatic disease [2]. About 42,000.
Biosensors in the Diagnosis, Prognosis and Prediction of Cancer. Conventional methods for cancer diagnosis include ultrasound, nuclear magnetic resonance and, biopsy, but these techniques require expensive equipment and highly qualified personnel, and, in the case of biopsy, is an invasive technique that represents a risk for the patient.
1. Introduction. A diagnosis of cancer will influence the person with cancer and their family over a long period of time (Finley, 2018).The supportive role of family in the care of person with cancer is well recognized, including both physical and psychosocial support (Gilliss et al., 2019), and may begin even before the cancer diagnosis is made, and continue through different trajectories of ...
Numerous studies have reported on the applicability of deep learning in cancer diagnostics, including prediction of diagnosis, prognosis and treatment response 3, 4, 5. Although many of these ...
Breast cancer is the most common cancer found among women around the world. In the year 2018 alone, there was a report of over two million cases accounting for 25.4% of all new cases of cancer in women [].As breast cancer rates increase, early detection and diagnosis are very important for early intervention and treatments.
The third part of this manuscript compiles the successfully applied deep learning models for different types of cancers. Considering the length of the manuscript, we restrict ourselves to the discussion of breast cancer, lung cancer, brain cancer, and skin cancer. The purpose of this bibliographic review is to provide researchers opting to work ...
1 Introduction. Breast cancer is a kind of cancer that affects mostly females and is a primary factor of mortality worldwide (Wu and Chu, 2021).It is a heterogeneous disease with six distinct molecular subtypes: luminal A (progesterone receptors (PR)+, estrogen receptor (ER)+, Human epidermal growth factor receptor 2 (HER2)-, and Ki67), luminal B (ER+, HER+/−, and Ki67+), human epidermal ...
Tumor biomarkers, the substances which are produced by tumors or the body's responses to tumors during tumorigenesis and progression, have been demonstrated to possess critical and encouraging ...
Baccouche, Asma, "Computer aided diagnosis system for breast cancer using deep learning." (2022). Electronic Theses and Dissertations. Paper 3931. The recent rise of big data technology surrounding the electronic systems and developed toolkits gave birth to new promises for Artificial Intelligence (AI). With the continuous use of data-centric ...
Early detection of disease has become a crucial problem due to rapid population growth in medical research in recent times. With the rapid population growth, the risk of death incurred by breast cancer is rising exponentially. Breast cancer is the second most severe cancer among all of the cancers already unveiled. An automatic disease detection system aids medical staffs in disease diagnosis ...
Molecular diagnostic tests help clinicians understand the underlying biological mechanisms of their patients' breast cancer (BC) and facilitate clinical management. Several tissue-based mRNA tests are used routinely in clinical practice, particularly for assessing the BC recurrence risk, which can guide treatment decisions. However, blood-based mRNA assays have only recently started to emerge.
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD) ... Biological and lifestyle predictors of survival in head and neck cancer. Author: Beynon, R. A., ... Genetic and Environmental Contributions to Trajectories of Depressive Symptoms Author: Kwong, A. S. F., 23 Jan 2020.
Eligible participants included persons who had been diagnosed with cancer or a caregiver of someone diagnosed with cancer. In addition, key informant interviews were conducted with cancer health care professionals providing cancer care in the selected counties. ... Deposit your senior honors thesis. Scholarly Journal, Newsletter or Book ...
Summary. Multiple biomedical imaging techniques are used in all phases of cancer management. Imaging forms an essential part of cancer clinical protocols and is able to furnish morphological, structural, metabolic and functional information. Integration with other diagnostic tools such as in vitro tissue and fluids analysis assists in clinical ...
Ultrasound-based cancer diagnosis could improve the current breast and prostate cancer diagnosis methods. In this thesis, an ultrasound-based approach is evaluated as a method for breast and prostate cancer diagnosis. Ultrasound RF time series along with a comprehensive machine learning framework is used for accurate classification of tissue ...
Acute myelocytic leukemia (AML). Credit: Unsplash/CC0 Public Domain. Madeleine Lehander from the Hematology Unit/HERM, at the Department of Medicine, Huddinge (MedH), is defending her thesis ...
He received his PhD on 26 March for the thesis "Single-cell mechanics for disease biology and pharmacology." A resulting article was published by Materials Advances.. Within a tumor, cells grow ...
Artificial Intelligence driven approaches, especially based on deep learning algorithms, provided an alternative perspective in summarizing the common features in large-scale and complex datasets and aided the human professions in discovering novel features in cross-domain research. In this dissertation, the author proposed his research of developing AI-driven algorithms to reveal the real ...
Campus and Community. Research Research School of Global Public Health Tandon School of Engineering College of Arts and Science Arts and Science Liberal Studies Gallatin School of Individualized Study Leonard N. Stern School of Business NYU Abu Dhabi. The telegraph. The polio vaccine. The bar code. Light beer.
This study was part of a PhD thesis entitled development and psychometric evaluation of motivation for healing questionnaire in cancer patients that was conducted from November 2019 to November 2020 in the Kashan University of Medical Sciences, Iran. ... The study participants were patients who had been diagnosed with cancer by a physician. The ...
Developing synthetic materials, with enzyme-like molecular recognition capabilities, as functional receptors in electronic or electrochemical devices for the timely diagnosis of major diseases is a great challenge. Herein, we present the development of Fe/MIPpy nanozymes, characterized as enzyme-like artificial rec