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New Approaches To Classification And Diagnostic Prediction Of Breast Cancers
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Book Synopsis New Approaches to Classification and Diagnostic Prediction of Breast Cancers by : Aleix Prat
Download or read book New Approaches to Classification and Diagnostic Prediction of Breast Cancers written by Aleix Prat and published by Frontiers Media SA. This book was released on 2020-06-16 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite many years of translational research in breast cancer, very few new biomarkers have been implemented for clinical use beyond estrogen receptor, progesterone receptor, and HER2. The main reason is that many promising biomarkers are clinically validated but lack analytical and clinical utility. One explanation is that proper validation of the predictive ability of the biomarker in independent datasets, and with a pre-planned statistical analysis, is not always performed. Thus, there is a need to identify new biomarkers or new ways to subclassify breast cancer patients that are reproducible and easy to implement in the clinical setting but, more importantly, that improve patient’s outcomes.
Book Synopsis New Approaches for by : Wafaa Shousha
Download or read book New Approaches for written by Wafaa Shousha and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomarkers accepted for clinical use in breast cancer, such as CA 15-3 and CEA have low sensitivity and specificity, and are thus more useful for patients at an advanced stage of breast cancer rather than for early cancer diagnosis. So, there is a need for new biomarkers to help in diagnosis of primary breast cancer and this is one of the aims of the present study. Once a patient has been diagnosed with breast cancer, there are several factors shown to be associated with survival. These factors are referred to as prognostic factors such as axillary lymph node status, tumor size, histological grade and hormone receptor expression. All these factors require tissue samples which is not practical for a screening regimen. So, measurement of the parameters in the present study was on the serum. Angiogenesis is a key factor in cancer development. It is initiated when there is a predominance of angiogenic factors that favour new vessel growth such as VEGF. Besides VEGF, there are several growth factors and molecules included in angiogenesis such as HGF, IL-18 and nitric oxide.
Book Synopsis Saving Women's Lives by : Institute of Medicine
Download or read book Saving Women's Lives written by Institute of Medicine and published by . This book was released on 2005 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building on the 2001 report, Mammongrapy and Beyond, this book not only examines ways to improve implementation and use of new and current breast cancer detection technologies, but also evaluates the need to develop tools that identify women who would benefit most from early detection screening. It encourages more research that integrates the development, validation, and analysis of the types of technologies in clinical practice that promote improved risk identification techniques.
Book Synopsis Saving Women's Lives by : National Research Council
Download or read book Saving Women's Lives written by National Research Council and published by National Academies Press. This book was released on 2005-03-18 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The outlook for women with breast cancer has improved in recent years. Due to the combination of improved treatments and the benefits of mammography screening, breast cancer mortality has decreased steadily since 1989. Yet breast cancer remains a major problem, second only to lung cancer as a leading cause of death from cancer for women. To date, no means to prevent breast cancer has been discovered and experience has shown that treatments are most effective when a cancer is detected early, before it has spread to other tissues. These two facts suggest that the most effective way to continue reducing the death toll from breast cancer is improved early detection and diagnosis. Building on the 2001 report Mammography and Beyond, this new book not only examines ways to improve implementation and use of new and current breast cancer detection technologies but also evaluates the need to develop tools that identify women who would benefit most from early detection screening. Saving Women's Lives: Strategies for Improving Breast Cancer Detection and Diagnosis encourages more research that integrates the development, validation, and analysis of the types of technologies in clinical practice that promote improved risk identification techniques. In this way, methods and technologies that improve detection and diagnosis can be more effectively developed and implemented.
Book Synopsis Breast Cancer Classification Using Machine Learning. An Empirical Study by : Akor Ugwu
Download or read book Breast Cancer Classification Using Machine Learning. An Empirical Study written by Akor Ugwu and published by GRIN Verlag. This book was released on 2021-05-11 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diploma Thesis from the year 2020 in the subject Medicine - Diagnostics, grade: 3.55, , course: Computer Science, language: English, abstract: The study will classify breast cancers into foremost problems: (Benign tumor and Malignant tumor). A benign tumor is a most cancers does now not invade its surrounding tissue or spread around the host. A malignant tumor is another kind of cancers which can invade its surrounding tissue or spread around the frame of the host. Benign cancers on uncommon event can also surely result in someone’s death, but as a fashionable rule they're no longer nearly as horrific because the malignant cancers. The malignant cancers at the contrary are like those killer bees. In this situation, you do not need to be doing something to them or maybe be everywhere near their hive, they will just spread out and attack you emass – they could even kill the individual if they are extreme enough. Manual manner of cancer category into benign and malignant may be very tedious, susceptible to human error and unnecessarily time consuming. The proposed system while constructed can robotically classify the sort of most cancers into the safe (benign) and also the risky (malignant). This machine plays this role through the usage of machine getting to know algorithm. The following is the extensive of this new system: Classification mistakes could be notably removed, early analysis of disorder, removal of possible human mistakes and the device does no longer die. However, the researcher seeks to detect and assess the class of breast using Machine learning.
Book Synopsis Development and Clinical Evaluation of New Approaches in Breast Cancer Diagnosis by : Nik Hauser
Download or read book Development and Clinical Evaluation of New Approaches in Breast Cancer Diagnosis written by Nik Hauser and published by . This book was released on 2013 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Ensemble Learning Approach for Classification Variance Reduction in Breast Cancer Diagnosis by :
Download or read book Ensemble Learning Approach for Classification Variance Reduction in Breast Cancer Diagnosis written by and published by . This book was released on 2015 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Breast Cancer, a Heterogeneous Disease Entity by : Zsuzsanna Kahán
Download or read book Breast Cancer, a Heterogeneous Disease Entity written by Zsuzsanna Kahán and published by Springer. This book was released on 2011-02-28 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume raises attention to the need of a completely new approach to breast cancer based on the knowledge collected on early breast cancer in the past two decades. The chapters are contributed by experts of all the fields participating in the clinical research and care of breast cancer. The practical importance of such a book is underlined by the increasing number of breast cancer cases, and also the increasing proportion of early stage-cases. The ultimate goal of the book is to point to the heterogeneous nature of the disease which is more striking and has more importance in care at the very early stages than at the more advanced stages. The book recommends the utilization of all the information provided by multimodality imaging and special pathological methods, a new classification system and therapeutic guidelines since early breast cancers should not be treated based on experience obtained with palpable tumors. No similar book has been yet released to the market. The book is written for all the members of the team participating in the diagnosis and treatment of breast cancer (radiologists, pathologists, surgeons, clinical and radiation oncologists), but may be useful for medical students and residents too. The chapters are illustrated with didactic pictures, and special emphasis is given to provide a peep into the practice of the special procedures for the careful examination and individualized therapy of each case.
Book Synopsis Therapeutic Advances in Breast Cancer by : Luca Gianni
Download or read book Therapeutic Advances in Breast Cancer written by Luca Gianni and published by . This book was released on 2000 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Translational Research in Breast Cancer by : Erwei Song
Download or read book Translational Research in Breast Cancer written by Erwei Song and published by Springer. This book was released on 2018-01-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive introduction to translational efforts in breast cancer, addressing the latest approaches to precision medicine based on the current state of understanding of breast cancer. With the latest developments in breast cancer research, our understanding of the genomic changes and the oncogenic signaling cascade of breast cancer has made considerable strides. Further, the immuno-environment has been demonstrated as the barrier to clinical cancer. In addition, major advances in cancer biology, immunology, genomics and metabolism have broken new ground for designing therapeutic approaches and selecting appropriate treatments on the basis of more precise information on the individual patient. As a result of these two trends, a clearer picture of the molecular landscape of breast cancers has facilitated the development of diagnostic, prognostic and predictive biomarkers for clinical oncology. All these aspects are addressed in this volume, which offers a comprehensive resource for researchers, graduate students and oncologists in cancer research.
Book Synopsis Statistical Methods for Diagnostic Testing by : Xin Sun
Download or read book Statistical Methods for Diagnostic Testing written by Xin Sun and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This report illustrates how to use two statistic methods to investigate the performance of a new technique to detect breast cancer and lung cancer at early stages. The two methods include logistic regression and classification and regression tree (CART). It is found that the technique is effective in detecting breast cancer and lung cancer, with both sensitivity and specificity close to 0.9. But the ability of this technique to predict the actual stages of cancer is low. The age variable improves the ability of logistic regression in predicting the existence of breast cancer for the samples used in this report. But since the sample sizes are small, it is impossible to conclude that including the age variable helps the prediction of breast cancer. Including the age variable does not improve the ability to predict the existence of lung cancer. If the age variable is excluded, CART and logistic regression give a very close result.
Book Synopsis Breast Cancer by : Katherine Sheldon
Download or read book Breast Cancer written by Katherine Sheldon and published by D&MD Reports. This book was released on 2001 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An efficient classification framework for breast cancer using hyper parameter tuned Random Decision Forest Classifier and Bayesian Optimization by : Pratheep Kumar
Download or read book An efficient classification framework for breast cancer using hyper parameter tuned Random Decision Forest Classifier and Bayesian Optimization written by Pratheep Kumar and published by Infinite Study. This book was released on with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision tree algorithm is one of the algorithm which is easily understandable and interpretable algorithm used in both training and application purpose during breast cancer prognosis. To address this problem, Random Decision Forests are proposed. In this manuscript, the breast cancer classification can be determined by combining the advantages of Feature Weight and Hyper Parameter Tuned Random Decision Forest classifier
Book Synopsis Molecular Pathology of Breast Cancer by : Sunil Badve
Download or read book Molecular Pathology of Breast Cancer written by Sunil Badve and published by Springer. This book was released on 2016-11-26 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: The complex landscape of breast cancer requires distinct strategies for the management of various molecular subtypes of this disease. Rapid advances in the field of molecular biology have been bewildering for those involved in its study and management. “Molecular Pathology of Breast Cancer” aims to close this knowledge gap by discussing comprehensively the evolution, biological basis and clinical applications with a focus on the “what, when, and how” of the most significant molecular markers known to date. These markers are evaluated in the context of genomic, transcriptomic and proteomic profiles, which is integral to the practice of precision medicine. The application of next generation sequencing (NGS) has provided new insights in the regulation of genomic and transcriptomic structure and function. Alterations in DNA such as mutations and single nucleotide polymorphisms (SNPs) have been correlated with outcomes and provide for novel therapeutic approaches. These NGS analyses have also revealed the extensive contributions of epigenetic mechanisms such as histone modifications, non-coding RNA and alternative splicing. All of these changes together contribute to alterations in proteome. Newer assays that allow greater stability and analytical consistency are emerging. These alterations in tumor profiles can be also now detected by imaging techniques. The heterogeneity of both tumor and tumor microenvironment, an inevitable reality, is discussed in detail with particular focus on cancer stem cells and immune signaling. A chapter is dedicated to the emerging technology of “liquid biopsy”, which opens a novel approach for “continuous” monitoring of cancer that might be superior to conventional diagnostics, “Molecular Pathology of Breast Cancer” provides a quick and easy, not to mention essential, tour for clinicians, pathologists and scientists who are seeking to understand the integration of molecular biology into the diagnosis, prognosis and management of breast cancer.
Book Synopsis Artificial Intelligence in Medicine by : David Riaño
Download or read book Artificial Intelligence in Medicine written by David Riaño and published by Springer. This book was released on 2019-06-19 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.
Book Synopsis Mammography and Beyond by : National Research Council
Download or read book Mammography and Beyond written by National Research Council and published by National Academies Press. This book was released on 2001-07-23 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each year more than 180,000 new cases of breast cancer are diagnosed in women in the U.S. If cancer is detected when small and local, treatment options are less dangerous, intrusive, and costly-and more likely to lead to a cure. Yet those simple facts belie the complexity of developing and disseminating acceptable techniques for breast cancer diagnosis. Even the most exciting new technologies remain clouded with uncertainty. Mammography and Beyond provides a comprehensive and up-to-date perspective on the state of breast cancer screening and diagnosis and recommends steps for developing the most reliable breast cancer detection methods possible. This book reviews the dramatic expansion of breast cancer awareness and screening, examining the capabilities and limitations of current and emerging technologies for breast cancer detection and their effectiveness at actually reducing deaths. The committee discusses issues including national policy toward breast cancer detection, roles of public and private agencies, problems in determining the success of a technique, availability of detection methods to specific populations of women, women's experience during the detection process, cost-benefit analyses, and more. Examining current practices and specifying research and other needs, Mammography and Beyond will be an indispensable resource to policy makers, public health officials, medical practitioners, researchers, women's health advocates, and concerned women and their families.
Book Synopsis HER2-Positive Breast Cancer by : Sara Hurvitz
Download or read book HER2-Positive Breast Cancer written by Sara Hurvitz and published by Elsevier Health Sciences. This book was released on 2018-07-26 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get a quick, expert overview of clinically-focused topics and guidelines that are relevant to testing for HER2, which contributes to approximately 25% of breast cancers today. This concise resource by Drs. Sara Hurvitz, and Kelly McCann consolidates today’s available information on this growing topic into one convenient resource, making it an ideal, easy-to-digest reference for practicing and trainee oncologists.
