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A study conducted at Yazd University in Iran has developed a new method for detecting breast cancer-derived exosomes using a flexible electrochemical paper-based device. Exosomes are biomarkers that are released by tumor cells and can be found in various biological fluids. The device, called Exo-sensing paper, is a three-electrode system that utilizes a nanocomposite of nickel nanofoam, graphene oxide, and gold nanoparticles to increase antibody loading on the sensor surface. The device has a wide linear range of detection and shows potential for use as a point-of-care testing tool for minimally invasive liquid biopsy. [Extracted from the article]

Lunit, a provider of AI-powered solutions for cancer diagnostics, has achieved a significant milestone by publishing 100 peer-reviewed papers in scientific journals featuring its Lunit INSIGHT suite. These papers, which focus on lung abnormalities and breast cancer, have been published in prestigious journals such as The Lancet Digital Health, JAMA Oncology, and Radiology. The research demonstrates the safety, effectiveness, efficiency, and reliability of Lunit INSIGHT products, and highlights the potential of AI to replace traditional methods of medical image analysis. Lunit's achievement reflects its commitment to advancing AI applications in medical settings and improving patient outcomes. [Extracted from the article]

Researchers at the University of Naples Federico II in Italy have developed a paper-based electrochemical device that can detect a specific microRNA, miRNA-652, associated with triple-negative breast cancer (TNBC). TNBC is a particularly aggressive and difficult-to-diagnose form of breast cancer, and current diagnostic methods are invasive and expensive. The device, which is customizable and selective in its recognition of miRNA-652, has shown promising results in detecting the microRNA in standard solutions and human serum. This development represents a significant step towards a non-invasive and TNBC-specific diagnostic platform that could improve patient prognosis and quality of life. [Extracted from the article]

Researchers from Chaudhary Charan Singh University in India have developed a paper-based analytical device for the early detection of ovarian cancer. The device uses silver nanoparticles coated on paper to detect lysophosphatidic acid (LPA), a biomarker for ovarian cancer, through surface enhanced Raman spectroscopy (SERS). The study found that patients with ovarian cancer had higher levels of LPA compared to those with benign ovarian tumors or healthy individuals. The researchers believe that this point-of-care device could be a simple, effective, and cost-effective tool for early diagnosis of ovarian cancer. [Extracted from the article]

Researchers at Ajman University in the United Arab Emirates have conducted a study on enhancing the efficacy of photodynamic therapy (PDT) for breast cancer treatment. The study focuses on the use of silica nanoparticles (SiNPs) to encapsulate a photosensitizer called Temoporfin, which aims to improve its delivery and reduce toxicity. The researchers found that encapsulated Temoporfin demonstrated greater effectiveness in eliminating cancer cells compared to its naked form. This research highlights the potential of SiNPs as an efficient drug delivery system in PDT and sets the groundwork for more advanced strategies in cancer treatment. [Extracted from the article]

A recent report from Chulalongkorn University discusses the concept of breast self-examination (BSE) as a vital screening method for early detection and diagnosis of breast cancer. The paper uses the Walker and Avant analysis method to define BSE and identify its attributes, antecedents, consequences, and empirical referents. BSE is particularly important in developing countries with limited resources, as it is a cost-effective technique for detecting abnormal cells in normal breast tissue. The report also explores factors that influence BSE, such as knowledge and perception about BSE, personal and family history of breast cancer, health literacy campaigns, education level, increasing age, obesity, and reproductive factors. The paper provides various tools for measuring and assessing BSE, including structured questionnaires, scales based on health belief models, knowledge tests, and health action process approaches. [Extracted from the article]

A review of 49 previously published papers suggests that vegetarian and vegan diets are generally associated with better cardiovascular health and lower risk of cancer, cardiovascular diseases, and death. These diets have been linked to reduced risk of ischemic heart disease, gastrointestinal and prostate cancer, and death from cardiovascular disease. However, the benefits of plant-based diets for pregnant women in terms of gestational diabetes and hypertension are unclear. The researchers caution against widespread recommendation of plant-based diets due to variations in study methodologies and the potential for vitamin and mineral deficiencies. [Extracted from the article]

A recent study conducted by researchers at the State Ethnic Affairs Commission has explored the use of nanomaterials in the diagnosis and treatment of breast cancer. Breast cancer is a leading cause of cancer-related deaths among women globally, and advancements in nanotechnology offer potential strategies for more precise targeting of cancer cells while minimizing damage to healthy cells. The study analyzed articles on nanomaterials for breast cancer treatment and diagnosis from 2008 to 2023, revealing an increasing number of papers in this field, with China being the primary source and the United States having the highest H index. The research predicts that the use of nanomaterials in medication delivery will be a significant area of future research in breast cancer. [Extracted from the article]

A recent research paper published in Oncotarget discusses the discovery of a potential biomarker, SSR3, that could predict the response to paclitaxel treatment in glioblastoma and breast cancer patients. The researchers used a whole genome CRISPR knockout screen to identify this biomarker, and it was validated in two independent breast cancer patient cohorts. The paper emphasizes the importance of validating novel biomarkers to improve the efficacy of therapeutic agents, particularly in the context of glioblastoma where treatment outcomes can be unpredictable. The researchers also highlight the need for further identification and validation of predictive biomarkers to enable personalized and precise medicine. [Extracted from the article]

A recent report from Mazandaran University of Medical Sciences discusses the diagnostic accuracy of detecting ESR1 mutations in breast cancer using cell-free DNA. The study conducted a systematic review and meta-analysis of diagnostic test accuracy, analyzing data from 13 papers with 15 cohorts and a total of 389 participants. The results showed that plasma cfDNA testing exhibited high sensitivity and specificity in detecting ESR1 mutations in breast cancer patients, suggesting that it could be a valuable diagnostic tool. However, further research is needed to confirm its prognostic value. [Extracted from the article]

A recent report from the Ministry of Health of Russia discusses the outcomes of subcutaneous or skin-sparing mastectomies with reconstruction for breast cancer. The research found that local recurrences and distant metastases occur in about 75% of cases within the first 5 years after surgery. The risk of recurrences and metastases is influenced by the molecular biological type of cancer, and the paper also examines the relationship between postoperative radiation therapy and the risk of recurrence. The study concludes that skin-sparing/subcutaneous mastectomies with single-stage reconstruction have a low risk of recurrences, but certain factors such as poor prognosis, lymph node metastases, and HER2 overexpression or triple-negative breast cancer can increase the risk. [Extracted from the article]

Chundo Pharm Co. Ltd. has been issued a patent for a method of producing a test strip for detecting calcium levels in a biological fluid sample. The test strip is based on a colorimetric change and can be used to measure calcium concentrations in blood, urine, or saliva. Calcium plays a crucial role in various bodily functions, and abnormal calcium levels can indicate medical conditions such as cancer, muscle dysfunction, and bone diseases. The test strip provides an easy, inexpensive, and fast way to measure calcium levels, allowing for early detection and prevention of conditions like osteoporosis. [Extracted from the article]

A research paper published in Oncotarget's Volume 15 on February 22, 2024, titled "Sacituzumab govitecan plus platinum-based chemotherapy mediates significant antitumor effects in triple-negative breast, urinary bladder, and small-cell lung carcinomas," explores the potential of combining sacituzumab govitecan (SG) with platinum-based chemotherapeutics in treating triple-negative breast cancer (TNBC), urinary bladder carcinoma (UBC), and small-cell lung carcinoma (SCLC). The study found that combining SG with carboplatin or cisplatin produced additive growth-inhibitory effects in vitro and significant antitumor effects in mice bearing TNBC, UBC, and SCLC tumors. The researchers suggest that further clinical investigation is warranted to explore the benefits of this combination therapy. [Extracted from the article]

A research paper titled "Prevalence and spectrum of germline BRCA1 and BRCA2 in a cohort of ovarian cancer patients from the Salento peninsula (Southern Italy): a matter of preventive health" was recently published in Oncotarget. The study aimed to characterize the BRCA1 and BRCA2 variants in a group of ovarian cancer patients from the Salento peninsula. The researchers found that the prevalence of germline mutations in the BRCA1 and BRCA2 genes was higher than reported in other studies. This study provides valuable insights into the role of BRCA mutations in ovarian cancer treatment and prevention. [Extracted from the article]

A new study conducted by researchers at Jimma University explores the use of explainable artificial intelligence (XAI) for breast cancer diagnosis from mammography and ultrasound images. The study reviewed 14 primary studies that employed XAI methods for breast cancer diagnosis and found that further research and evaluation are needed to determine the most effective XAI method. The researchers also noted that the trustworthiness of XAI in real-world applications needs to be systematically evaluated. The study highlights the importance of ongoing research in this area to improve breast cancer diagnosis. [Extracted from the article]

A recent study from the University of Illinois Chicago suggests that a commonly used test to determine whether breast cancer patients should receive chemotherapy may be providing inaccurate recommendations for some Black women. The test, known as the 21-gene breast recurrence score, helps identify which tumors are more aggressive and therefore better candidates for chemotherapy. However, the study found that the test may underestimate the benefit of chemotherapy for Black women, leading them to forgo treatment when it could have been beneficial. The researchers recommend further study to determine if the test's cutoff point for recommending chemotherapy for Black women should be adjusted. The study also highlights the need to consider biological differences in tumors between racial and ethnic groups, while acknowledging the role of social factors and structural racism in healthcare disparities. [Extracted from the article]

A recent study conducted by researchers at Humanitas University explored the relationship between diet and breast cancer. The researchers conducted a literature review of studies published between 2013 and 2023 and found limited evidence on the association between high sugar intake and breast cancer incidence. However, dairy and soy consumption showed a protective effect in the majority of the analyzed papers, although there was some heterogeneity in the results. The researchers concluded that further investigation is needed to obtain a uniform consensus on the relationship between diet and breast cancer. [Extracted from the article]

A recent editorial paper published in Oncotarget discusses the challenge of PARP inhibitor resistance in ovarian cancer treatment. While PARP inhibitors have been effective in extending progression-free survival for patients with homologous recombination repair deficiency, resistance to these inhibitors remains a common issue. The researchers from Mayo Clinic School of Medicine and Science conducted a study on the drug Pixatimod (PG545), which showed promising results in inducing DNA damage and impeding the DNA repair pathway in ovarian cancer cells. This research highlights the need for innovative strategies to address PARP inhibitor resistance in ovarian cancer treatment. [Extracted from the article]

A recent report published by researchers at the IEO European Institute of Oncology IRCCS in Milan, Italy, highlights the disparities in access to medical imaging, particularly in breast cancer screening. The report emphasizes the importance of addressing these disparities, which disproportionately affect marginalized communities, racial and ethnic minorities, and individuals facing linguistic or cultural barriers. The researchers propose strategies to mitigate these disparities, including cultural education, sensitivity training, and workforce diversification among radiologists. They also discuss the role of policy changes and legislation in promoting equal access to essential screening services. The report underscores the need for international collaboration and the validation of artificial intelligence models across diverse populations to prevent bias and achieve equitable healthcare outcomes. Overall, the report provides an overview of the challenges related to disparities in medical imaging access and offers actionable strategies for achieving equitable healthcare delivery. [Extracted from the article]

A recent report from Hasanuddin University discusses the assessment of the quality of life (QOL) for breast cancer patients undergoing chemotherapy. The researchers conducted a systematic review of 300 studies using various online databases and selected 20 papers that met their criteria. The study emphasizes the importance of using instruments to measure the QOL of breast cancer patients in order to understand the impact of the disease on their physical, mental, and social well-being. The full article can be accessed for free through the provided link. [Extracted from the article]

A new report from National Pingtung University in Taiwan examines the use of the Health Belief Model to predict women's sexual health behaviors, specifically focusing on breast cancer. The researchers conducted a meta-analytic path analysis using data from 47 papers and found that the Health Belief Model had the highest predictive power for mammography, followed by breast self-examination. The study also found that perceived barrier was the primary negative predictor of mammography. The researchers concluded that the Health Belief Model is a strong predictor of mammography and that perceived barrier may contribute to lower rates of mammography due to pain or discomfort. [Extracted from the article]

A new report from Wroclaw Medical University in Poland discusses the unique characteristics of cancer cells in female genital neoplasms. The research highlights how cancer cells can adapt to their environment and alter immunological pathways to survive and proliferate. The paper emphasizes the importance of understanding these processes in order to develop specialized therapies for gynecologic neoplasms. The research was funded by the Statutory Subsidy Funds of The Department of Molecular And Cellular Biology. [Extracted from the article]

A systematic review update was conducted to inform the Canadian Task Force on Preventive Health Care's guideline on breast cancer screening for women aged 40 and older. The review included three new papers reporting on existing randomized controlled trial (RCT) data and 26 observational studies. The RCT data showed a significant relative reduction in the risk of breast cancer mortality with screening mammography, while the observational data showed a range of relative mortality risk reduction. The review also found evidence of overdiagnosis. However, the overall quality of evidence was assessed as low or very low, indicating uncertainty about the effects of screening. The authors recommend future research to prioritize studying screening in higher risk populations. [Extracted from the article]

This article discusses the use of nanoparticle technology in the diagnosis and treatment of lymphatic metastasis in breast cancer. It explores the effectiveness of nanoparticle-based therapies in targeting and treating this dangerous aspect of breast cancer. The research highlights the use of nanoparticles in imaging, diagnostics, and therapy, including chemotherapy that targets cancer stem cells and the enhancement of the immune response. Nanoparticle technology shows promise in delivering drugs directly to cancerous tumors and visualizing tumors for better treatment strategies. The article also emphasizes the importance of these advancements in reducing the risk of post-surgical metastases in vital organs. [Extracted from the article]

Breast cancer is the most common malignant tumor in women, and its diagnosis and treatment rely on traditional histological and molecular pathological features. However, the metastasis of breast cancer occurs when cancer cells invade the primary tumor site as well as surrounding blood and lymphatic vessels. Pathologists have been able to distinguish between lymphatic and vascular invasion using immunohistochemical and vascular endothelial labeling techniques. This research paper summarizes recent progress in the clinical application of specific lymphovascular endothelial markers in breast cancer, with the aim of understanding the mechanisms of breast cancer progression and identifying new prognostic indicators and therapeutic targets. [Extracted from the article]

A recent report from Islamic Azad University Science and Research Branch discusses the use of deep learning techniques for the diagnosis of cervical cancer. The researchers highlight the importance of early detection and the limitations of traditional clinical inspection methods. They explore the use of deep learning in improving the accuracy and efficiency of cervical cancer screening, specifically in cytology and colposcopy. The study reviews 24 selected papers and concludes that deep learning can enhance the precision and speed of cervical cancer analysis, potentially leading to early diagnosis and saving lives. [Extracted from the article]

A recent study conducted by researchers at the University of Dundee in the United Kingdom focused on the rare occurrence of oral soft tissue metastasis from breast cancer. The study aimed to analyze published cases of breast cancer as the sole primary source of metastasis to the oral soft tissues. The researchers found 88 relevant papers from September 1967 to September 2023, which included a total of 96 patients. The most commonly affected oral soft tissues were the salivary glands, followed by the gingiva, tonsils, tongue, and buccal mucosa. The study concluded that oral soft tissue metastasis from breast cancer is rare and has a poor prognosis, emphasizing the need for more awareness and publication of these cases. [Extracted from the article]

A review of in vitro breast cancer studies conducted by researchers at the University of Massachusetts Amherst has found a lack of research on how breast cancer cells can go dormant, spread, and then resurface years or even decades later. Breast cancer dormancy is a phenomenon in which cancer cells metastasize but do not grow, making them undetectable and symptomatic. This relapse in distant organs impacts 40% of early-stage breast cancer patients, and identifying dormant cancer cells is challenging. The researchers call for more research, creativity with existing materials, and the development of new materials to better understand and treat dormant cancer. [Extracted from the article]

A recent study on endometrial cancer, conducted by the Unit of Obstetrics and Gynecology in Palermo, Italy, has found that fertility-sparing treatment (FST) may be a viable and safe option for young women with stage IA and grade 2 endometrial carcinoma (EC). The study reviewed 22 papers and found encouraging oncologic and reproductive outcomes after FST. However, the researchers caution that further research with standardized methodologies and larger sample sizes is needed to draw more robust conclusions. This information is important for women of childbearing age diagnosed with grade 2 EC who are considering fertility preservation options. [Extracted from the article]

A recent study published in the Journal of Vacuum Science & Technology B highlights a new hand-held breast cancer screening device that can detect breast cancer biomarkers from a small sample of saliva. The device uses paper test strips treated with specific antibodies that interact with the targeted cancer biomarkers. It is portable, reusable, and provides test results in under five seconds. Compared to alternatives like mammograms and MRIs, this device is more cost-effective, less invasive, and requires only a drop of saliva. The researchers hope that this technology can make a significant impact in areas where resources for breast cancer screening tests are limited. [Extracted from the article]

A recent study conducted at the University of Ilorin in Nigeria explores the diagnostic gap in ovarian cancer in sub-Saharan Africa (SSA) and the potential of liquid biopsy (LB) as a transformative diagnostic method. The study highlights the challenges faced in early diagnosis and treatment of ovarian cancer in SSA, including limited resources, poor healthcare infrastructure, and lack of awareness. LB is seen as a promising approach due to its cost-effectiveness and adaptability to resource-limited settings. The study concludes that by addressing the diagnostic gap and utilizing LB, early detection, improved treatment, and better outcomes for ovarian cancer patients in SSA can be achieved. [Extracted from the article]

A study conducted by researchers at Sao Paulo State University (UNESP) in Brazil explores the potential of piperine-loaded nanoemulsions as a drug delivery system for breast cancer treatment. Piperine, an alkaloid of natural origin, has shown anti-cancer activity but has limited effectiveness due to its physicochemical characteristics. The researchers developed and characterized piperine-loaded nanoemulsions, which demonstrated sustained release and increased cytotoxicity against breast cancer cell lines. This study contributes to the understanding of nanosystems as a strategy to optimize drug delivery and enhance the cytotoxic properties of lipophilic drugs like piperine in breast cancer treatment. [Extracted from the article]

A recent study led by Stanford Medicine clinicians and biomedical data scientists has found that deaths from breast cancer have decreased by 58% between 1975 and 2019. The decline is attributed to a combination of screening mammography and improvements in treatment. The study also revealed that nearly one-third of the decrease is due to advances in treating metastatic breast cancer, a form of the disease that has spread to other areas of the body. The findings provide valuable insights for cancer researchers and highlight the need for continued efforts to improve interventions and treatments. [Extracted from the article]

A preprint abstract from medrxiv.org discusses a study on breast cancer detection using Convolutional Neural Networks (CNNs) to analyze mammography images in DICOM format. The CNNs are trained and tested using a large publicly available database, and the results show high accuracy, precision, and recall rates. However, it is important to note that these preliminary findings still need to be verified by a trained radiologist. This research utilizes emerging technologies in the field of oncology and may have implications for improving breast cancer screening and diagnostics. [Extracted from the article]

A recent study conducted by Hirotsu Bio Science Inc. highlights the importance of cervical cancer screening, particularly for underserved communities where access and outcomes are often unequal. The study explores the potential of Multicancer Early Detection (MCED) tests as a less invasive and more accessible approach to screenings. While MCED tests show promise, the study acknowledges challenges such as cost, logistical obstacles, and the need for cultural acceptance and validation studies. The research emphasizes the need for equitable implementation strategies for MCED tests to advance global health equity in cervical cancer prevention. [Extracted from the article]

A new study from the University of Belgrade explores the development and behavior of bone metastases in breast cancer. Breast cancer is the leading cause of cancer-related deaths among women worldwide, with around 90% of deaths occurring due to metastatic disease. The study highlights the importance of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) in predicting the spread of breast cancer and choosing a therapeutic protocol. More research is needed to understand the complex process of bone metastases in breast cancer. [Extracted from the article]

A recent study conducted by researchers from Weill Cornell Medicine, Columbia University Irving Medical Center, and NewYork-Presbyterian suggests that including BRCA1 testing during prenatal carrier screening for pregnant individuals is both cost-effective and beneficial. Harmful variants in the BRCA1 gene significantly increase the risk of breast, ovarian, and pancreatic cancers, but many carriers are unaware of their status until after a cancer diagnosis. The study found that adding BRCA1 testing to prenatal carrier screening could identify at-risk individuals earlier, allowing for cancer screening and preventative strategies that could potentially save lives. The researchers also believe that adding other hereditary cancer genes to prenatal carrier screening could be cost-effective. Currently, no prenatal carrier screening panels on the market include BRCA1 or other hereditary breast and ovarian cancer genes, but the researchers are in talks with genetic testing companies to integrate these genes into their products. [Extracted from the article]

New research from Virginia Commonwealth University's Massey Comprehensive Cancer Center has identified a previously unknown biological process that leads to drug resistance in breast tumor cells. This discovery could potentially lead to the development of more effective therapies for breast cancer. The research team also tested a drug in combination with an existing therapy, achieving total remission in one breast cancer model and reducing cancer growth by nearly 70% in other models. The study highlights the need to target both the HER2 and EGFR receptors to eradicate drug-resistant HER2-positive breast cancer. [Extracted from the article]

A report from Guangzhou University of Chinese Medicine discusses the rare postoperative complication of chyle leakage in breast cancer patients. The research emphasizes the importance of conservative treatments and careful monitoring of drainage volume, with surgical intervention as a last resort. The study highlights the lack of consensus in the literature regarding the management of chyle leaks after breast cancer surgery. The case report presented in the research demonstrates successful treatment with conservative measures and explores the various management options available to clinicians. For more information, the full article can be accessed through Wiley's Clinical Case Reports journal. [Extracted from the article]

Alchemab Therapeutics, an antibody discovery company, has published an article in the journal Nature Immunology titled "Predictability of B cell clonal persistence and immunosurveillance in breast cancer." The study, conducted in collaboration with the Cancer Dynamics Group at The Institute of Cancer Research, London, the University of Oxford, and the University of Cambridge, focuses on the role of B cells in the immune response to cancer. The research found that B cell and T cell responses in breast cancer patients coevolve with the cancer genomes and mirror the tumor mutational and neoantigen architecture. This work provides insights that can help develop improved therapies for cancer and immune disorders. [Extracted from the article]

Insilico Medicine, a clinical-stage generative artificial intelligence (AI)-driven drug discovery company, has developed a novel small molecule inhibitor for cyclin-dependent kinases (CDKs) 8 and 19, which play key roles in cell proliferation and differentiation. The lead compound, designed using Insilico's proprietary generative chemistry platform Chemistry42, has shown strong enzymatic activity, selectivity, and favorable properties in animal models. It has demonstrated potential as a treatment for various cancers, including acute myeloid leukemia, breast cancer, and lymphoma. Insilico Medicine is a pioneer in using generative AI for drug discovery and has made significant progress in multiple disease areas. [Extracted from the article]

A recent study conducted by researchers from Sungkyunkwan University School of Medicine explored the feasibility of a mobile-based monitoring solution for managing menopausal symptoms in premenopausal breast cancer patients undergoing endocrine therapy. The study involved 19 patients who completed surveys about their symptoms using a mobile platform-based solution. The response rate to the solution was 84.5%, with varying response rates and scores for different symptoms. The researchers concluded that the mobile solution shows promise for clinical use and should be further investigated in larger-scale studies. [Extracted from the article]

A recent study conducted at Sri Eshwar College of Engineering in Tamil Nadu, India, has focused on breast cancer detection. The researchers explored the use of a Photonic crystal (PhC) based hourglass terahertz patch antenna to identify tumor cells in a breast phantom. The proposed antenna structure was found to be small, cost-effective, lightweight, and environmentally friendly, making it a potential primary screening technique for breast cancer in resource-limited areas. The study has been peer-reviewed and provides valuable insights into breast cancer diagnostics. [Extracted from the article]

A report from the China University of Petroleum (East China) discusses the need for modern technology, specifically artificial intelligence, to support the diagnosis of breast cancer. The existing computer-aided diagnostic systems for breast cancer are costly and limited in their capabilities. The report proposes the use of improved algorithms and a simple integrated system for pre-diagnosis of breast cancer based on CNN and Pyqt5. The system utilizes tensorflow and pytorch frameworks and includes a human-computer interaction GUI system interface. The research has been peer-reviewed and more information can be obtained from the China University of Petroleum (East China). [Extracted from the article]

Researchers from Menoufia University in Shibin Al Kawm, Egypt, have developed a framework to improve the prediction of breast cancer recurrence. The framework addresses challenges such as class imbalance and a large number of data dimensions. It uses a combination of techniques, including data oversampling, Principal Component Analysis (PCA), Genetic Algorithm (GA), and a neural network algorithm. The evaluation of the framework showed significant improvement in prediction performance, achieving an accuracy of 98.3% and other favorable metrics. This research has been peer-reviewed and published in Expert Systems with Applications. [Extracted from the article]

A recent study conducted by researchers at Endicott College in South Korea explores the use of deep learning technologies for the detection of breast cancer. The study focuses on segmentation techniques in medical pathology and addresses the challenges of limited labeled data in Whole Slide Images. The researchers evaluate the performance of different deep learning architectures, such as the Feature Pyramid Network and the Linknet model, using metrics like the Dice Coefficient and the Jaccard Index. The study concludes that these models show promise in the detection of breast cancer and could have broader applications in medical segmentation tasks. [Extracted from the article]

A recent study conducted at Shiraz University aimed to improve the accuracy of breast cancer diagnosis by using a feature selection algorithm based on particle swarm optimization (PSO) combined with machine learning methods. The researchers tested their algorithm on three common breast cancer datasets and found that it significantly improved accuracy while reducing the number of features needed for diagnosis. The study suggests that the proposed algorithm has the potential to enhance breast cancer diagnosis and reduce cost and time. Further information on the study can be found in the International Journal of Computational Intelligence Systems. [Extracted from the article]