Browsing by Subject "Breast cancer"
Now showing items 1-20 of 25
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Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
(Brac University, 2022-01)Cancer, a diagnosis so dreaded and scary, that its fear alone can strike even the strongest of souls. The disease is often thought of as untreatable and unbearably painful, with usually, no cure available. Among all the ... -
Assessing the prevalence and impact of leptin receptor (Q223R) polymorphism in Bangladeshi breast cancer patients: a case control study
(Brac University, 2024-09)Breast cancer is the leading cause of mortality among women globally, including in Bangladesh, which reports over 13,000 cases annually. This study inquired about the recurrence and impact of the LEPR (Q223R) polymorphism ... -
Association of BRCA1, BRCA2, RAD51, and HER2 gene polymorphisms with the breast cancer risk in the Bangladeshi population
Purpose: Breast cancer is considered as the most frequent female malignancy. Altered gene expressions due to genetic polymorphisms in the BRCA1, BRCA2, RAD51, and HER2 contribute toward the development of breast cancer, ... -
Bioinformatic analysis of differentially-expressed genes corregulated by NOTCH in breast cancer
(Brac University, 2024-05)Breast cancer development and progression require the involvement of an array of cell signaling pathways and biological processes, the NOTCH signaling pathway being of particular interest. The NOTCH pathway, although ... -
Breast cancer awareness seminars
(Dhaka Tribune, 2015-10-29) -
Breast cancer prediction using different machine learning models
(Brac University, 2019-08)Breast cancer is often the most lethal diseases with a large mortality rate especially among women. Despite the severe effect of the disease, it is possible to pinpoint the genre of breast cancer using diff t machine ... -
Breast cancer therapy through Liposomal drug delivery system
(BRAC University, 2022-11)Liposomes have been particularly effective among the several nanoparticle-based delivery systems, with various formulations making it into clinical applications. They are widely recognized and efficient gene and/or medication ... -
Comparative analysis of efficient deep learning models for breast cancer identification using relevant genes
(BRAC University, 2024-10)Cancer remains a formidable global health challenge, with early detection critical in improving patient outcomes. In this context, applying deep learning techniques to relevant gene analysis has emerged as a promising ... -
Comparison of conventional doxorubicin with liposome encapsulated doxorubicin as a treatment of breast cancer-a review
(Brac University, 2023-07)Breast cancer continues to be one of the most common reasons for hospitalization and mortality each year. As time goes on, novel anticancer drug formulations are being released on the market, raising the concern of medical ... -
Early detection of breast cancer using machine learning
(Brac University, 2018-12)Breast cancer is the most common cancer among women but in can occur in both the genders. It is accountable for an appalling number of deaths worldwide. In a particularly low-resource developing country like Bangladesh, ... -
Exploring the association among breast cancer risk factors, biomarker profiles, and tumor stages: a study from Dhaka, Bangladesh
(BRAC University, 2024-11)Breast cancer is one of the most common types of cancer worldwide and continues to be a global public health concern. According to GLOBOCAN estimates, 19% of 68.7 million new breast cancer cases were diagnosed in 2022, ... -
The impact of breast cancer on women’s lives in Bangladesh
(Brac University, 2023-10)Cancer is one of the deadliest diseases that often takes lives. Inside the human body, the cells that are supposed to grow and double at an average rate in order to replace the already damaged cells and the cancer cells ... -
Impact of treatment size and molecular types of breast cancer on response rate and progression-free survival
(Brac University, 2022-08)According to the American Cancer Society's projections, there will be 339,250 cases of breast cancer and 43,250 women will pass away due to this cancer in the year 2022. Moreover, breast cancer is responsible for 15% ... -
In silico analysis revealed hsa-miR-19a-3p and hsa-miR-19b-3p as two potential inhibitors of EGF mRNA in Breast Cancer
(Brac University, 2024-03)Breast cancer (BrC) is a highly prevalent and often fatal disease affecting both women and, to a lesser extent, men worldwide. There were about 2.3 million new breast cancer cases worldwide in 2020, resulting in approximately ... -
Investigating the role of leptin receptor (Q223R) gene polymorphism in breast cancer development in Bangladeshi women: a case-control study
(Brac University, 2024-09)Breast cancer is well recognized as a significant cause of death, and it is well established that there is a genetic element associated with the prognosis of the disease. This study’s objective is to examine the association ... -
Machine learning as an indicator for breast cancer prediction
(BRAC University, 2018-12)Affecting roughly around 10 percent of the women across the globe in some stage of their lives,Breast Cancer has stood out to be one of the most feared and frequently occurring cancers at present among women[1]. While ... -
Machine learning In breast cancer prognosis and prediction
(Brac University, 2022-05-19)In the human body, cancer is a condition that causes cells to proliferate quickly and uncontrolled across the whole body. It has the ability to arise in any of the billions of cells that build up the human body. Human cells ... -
Natural products and their combinatory effects in breast cancer treatment
(Brac University, 2021-06)Breast cancer is one of the major causes of mortality for women across the globe. As treatment options for breast cancer, hormonal therapy, surgery, chemotherapy and radiotherapy have long been used. Despite advances in ... -
Pooled analysis of progression-free survival and overall survival in phase II clinical trials of breast cancer
(Brac University, 2024-05)Metastatic breast cancer requires more investigation because of its high incidence. Efforts to improve the accessibility, evaluative simplicity, and predictive accuracy of clinical trial endpoints are ongoing. In this ... -
Recent advancement on breast cancer detection and treatment
(Brac University, 2022)Breast cancer is the most common cancer in women compared to men. The genetic and epigenetic factors, food habit, lifestyle, age vulnerability, poor diagnosis system, and substandard treatment set-up are linked to the ...
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