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88 articles for “Breast”
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Comparative Study of Machine Learning Algorithms for Detection of Breast Cancer
Abstract: Breast cancer continues to be the most commonly diagnosed cancer among women, with more than 2.3 million new cases diagnosed yearly worldwide. It is stated as the leading cause of cancer-related deaths. Therefore, this emphasizes the dire necessity for early diagnosis with a view to improving survival. Early diagnosis elevates the effectiveness of prediction and treatment. This research carries out a structured and analytical evaluation of various machine learning algorithms, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 113–129 Read article
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Exploring the Role of Ginkgo biloba in Investigating 7L1X in Triple-Negative Breast Cancer Through Integrative Bioinformatics
Abstract: Objectives: Triple-negative breast cancer is a very dangerous form of cancer that affects mostly Hispanic and African American women above the age of 40. It represents approximately 15–20% of the global cancer incidence. This experiment aims to investigate the use of Gingko biloba in the treatment of the disease triple-negative breast cancer. Methods: We use a variety of online tools, and websites, including the Indian Medicinal Plants, Phytochemistry, and Therapeutics …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Knowledge Enhancement Through Breast Cancer Education Among B.Sc. Nursing Students: A Pre-Experimental Study
Abstract: Background: Breast cancer continues to be a major global public health concern. Timely detection and proper management play a vital role in reducing morbidity and mortality. Nursing students must have sufficient knowledge to provide effective community education and deliver quality care. Aim: This study aims to evaluate the effect of a structured teaching program on improving the knowledge of nursing students. Method: The quantitative research approach with pre-experimental research design …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 23–27 Read article
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Management of Thermal Burns over Breast – Our Experience
Abstract: The intricate challenge of restoring normal anatomy with minimal deformity in burns over the breast region has prompted the development of innovative tissue regeneration approaches. Addressing the complex nature of challenging wound patterns necessitates a multidisciplinary team with diverse expertise. In our concerted effort, we have successfully integrated advanced reconstructive techniques with regenerative medicine modalities to enhance outcomes in the intricate realm of complex breast reconstruction post-thermal burns. Our approach …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Computational Analysis of Tinospora Cordifolia Phytochemicals as Potential Inhibitors of BRCA1-BRCT Domain Interaction in Breast Cancer
Abstract: Breast cancer is a leading cause of cancer-related deaths worldwide, accounting for a significant proportion of mortality rates among women. Despite current therapeutic approaches, the disease remains characterized by molecular heterogeneity, making it challenging to develop effective treatments. This study explores the potential of Tinospora cordifolia, a medicinal plant, in breast cancer therapy. Guduchi, scientifically known as Tinospora cordifolia, boasts a centuries-long history of use in traditional medicine, with a …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 1, 2025 · pp. 27–37 Read article
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Computer Aided Diagnosis of Breast Cancer using Machine Learning Techniques
Abstract: Breast cancer is one of the significant health problems that lead to early mortality in women, especially those between 40 and 55 years of age all over the world. In recent years, the number of breast cancer cases among women has risen significantly, making early and accurate diagnosis more important than ever. Computer-aided diagnostic (CAD) tools have become valuable in supporting radiologists by enhancing the precision of breast cancer detection. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 1–11 Read article
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Embarking on the Frontier: A Comprehensive Study of various traditional Technologies and creating awareness about latest technologies for Breast Cancer Screening amongst various Hospitals in India
Abstract: This extensive study explores the landscape of conventional technologies used in Indian hospitals for Breast Cancer Screening. The study comprehensively examines commonly used techniques, including Mammography, Ultrasound and Clinical Breast Examination in order to provide a holistic understanding of existing screening methods. The study also investigates how well-informed medical facilities are on the newest technology in breast cancer screening, including AI based methods.The acceptance rates and challenges involved with introducing …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 1, 2024 · pp. 80–86 Read article
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Maternal and Infant Pollutant Exposure through Breastfeeding in Industrial Punjab
Abstract: Because of their lasting presence, bioaccumulation in the food chain and/or potential for transferring to infants through breastfeeding, environmentally persistent chemical pollutants, such as per- and polyfluoroalkyl compounds (PFAs), pesticides, heavy metals and industrial emissions, represent significant public health threats. A study was conducted using a structured questionnaire to gather information about maternal demographics (age, education, marital status), how mothers were exposed to environmental contaminants through occupational activities, the ways …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 2, 2026 Read article
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A Quantitative Study to Assess The Mastery Regarding Breast Feeding among Primi Mothers
Abstract: Background: The study aim to assess the mastery of breastfeeding among primi parous mothers who were admitted to a medical college hospital in Wayanad. Material and methods: This study employed a non-experimental quantitative research methodology, and it involved the selection of 120 primiparous women through purposive sampling. The setting of the study was at DM WIMS the research design was an experimental research design (post-test only control design). The target …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 24–29 Read article
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Extrapolations of Periwinkle Secondary Metabolites as Multitarget Inhibitor of Breast Cancer Proteins
Abstract: Objective: Breast cancer is considered one of the most common and dangerous forms of cancer. It is a significant public health issue on a global scale. The study estimates that 10.0 million people will die from cancer this year, and 19.3 million people will develop the disease overall (BC). In this computation approach, nowadays emphasizes new drug discovery, the target protein epidermal growth factor receptor (EGFR) (5UGB), estrogen receptor (ER) …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 1, 2023 · pp. 36–49 Read article
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Comparison of K-nearest Neighbor and Artificial Neural Network Classifiers for the Detection of Breast Cancer
Abstract: Breast cancer is the most common type of cancer seen in women in the present day, which is also considered a life-threatening disease. If this cancer can be detected in its early stage it can be a lifesaver for many people around the world. Machine Learning techniques have become one of the hotspots for predicting the early diagnosis of breast cancer. This research work experiments with the two most popularly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 78–83 Read article
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Stingless Honeybee’s Rare Sugar and PCSK 9 - LDLR Interaction, A New Hope for Hormone Dependent Breast Cancer Patients – An In-silico Study
Abstract: Hypercholesterolemia is a lipid disorder characterized by elevated levels of low-density lipoprotein (LDL), commonly known as "bad" cholesterol. This condition is a significant risk factor in the development and progression of hormone-dependent breast cancer, as well as in the emergence of resistance to hormonal therapy. One of the key regulators of cholesterol metabolism is the proprotein convertase subtilisin/kexin type-9 (PCSK9) protein, which facilitates the degradation of the LDL receptor (LDLR) …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Assessing Supportive Care Needs Among Breast Cancer Survivors: A Cross-Sectional Study
Abstract: Breast cancer poses a significant global health challenge and ranks among the primary causes of cancer-related morbidity and mortality worldwide. The objective of this study was to evaluate the supportive care needs of survivors of breast cancer and examine how these needs are related to various background factors. To accomplish this, a cross-sectional study was carried out with 116 breast cancer survivors, selected using a convenient sampling method. Data were …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 39–42 Read article
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Role of PI3K/AKT/mTOR Signaling Pathways in Breast Cancer
Abstract: Abstract: Breast cancer is among the most commonly diagnosed cancers and remains a leading cause of mortality among women globally. Although early detection and interventions aimed at curtailing tumor progression have significantly improved breast cancer survival rates, there is an ongoing demand for more potent systemic therapies to effectively prevent metastasis. A central pathway frequently associated with the growth, survival, and motility of breast cancer cells is the PI3K/AKT/mTOR signaling …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 23–34 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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Improving Postpartum Care Through Nursing Interventions: A Focus on Mental Health, Breastfeeding Support, and Physical Recovery
Abstract: Postpartum care is a vital phase that requires a comprehensive approach to addressing mothers' physical, emotional, and psychological needs. Nursing interventions, which focus on mental health, breastfeeding support, and physical recovery, play a critical role in enhancing postpartum outcomes. Nurses are central to identifying and managing postpartum depression and anxiety through early screening, counselling, and facilitating access to mental health resources. This ensures timely intervention, reducing the long-term impact of …
Published in International Journal of Midwifery Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Effect of a Multi-Component Intervention on the Quality of Life of Breast Cancer Patients Undergoing Chemotherapy in a Selected Oncology Centre
Abstract: Breast cancer remains the most commonly diagnosed cancer among women globally and continues to be a leading cause of cancer-related mortality among females. In India, it has become the most prevalent cancer among women, with a noticeable rise in incidence annually. The growing burden of breast cancer highlights the urgent need for effective supportive care strategies that address not only the physical but also the emotional and psychosocial well-being of …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 11–18 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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Sudarshan Kriya Intervention and Rise of Protective Prostaglandins in Advanced-Stage Breast Cancer: Double-Blind, Randomized, Controlled Trial
Abstract: Background: Breast cancer patients in advanced stages of cancer are managed by palliative care. This study reports important prostaglandin changes observed with added intervention of Sudarshan Kriya in their ongoing palliative care. Level of Prostaglandin A₂ (PGA₂) indicates tumor growth suppression; its level rises if person’s general condition is good, physically fit and active while PGE₂ and D₂ are considered pro-inflammatory. Quantitative assessment of Prostaglandins was done pre and post …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 62–68 Read article
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Knowledge and Attitude of Women Regarding Mammogram and Other Screening Modalities for Breast Cancer in a Selected Hospital, Kottayam
Abstract: The present study was conducted at Caritas Hospital, to assess the knowledge and attitude of women (30–50 years) regarding mammogram and other screening modalities. The study aimed to evaluate women's understanding of mammograms and various breast cancer screening methods, gauge their attitudes toward mammograms and other screening options, investigate the relationship between women's knowledge and attitudes regarding these screening methods, explore any associations between knowledge and certain demographic factors, and …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 36–44 Read article