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Identification Of Immune Related Biomarkers For Cancer Diagnosis Based On Multi Omics Data
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Book Synopsis Identification of immune-related biomarkers for cancer diagnosis based on multi-omics data by : Liang Cheng
Download or read book Identification of immune-related biomarkers for cancer diagnosis based on multi-omics data written by Liang Cheng and published by Frontiers Media SA. This book was released on 2023-02-02 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Identification of Multi-Biomarker for Cancer Diagnosis and Prognosis based on Network Model and Multi-omics Data by : Chunquan Li
Download or read book Identification of Multi-Biomarker for Cancer Diagnosis and Prognosis based on Network Model and Multi-omics Data written by Chunquan Li and published by Frontiers Media SA. This book was released on 2023-03-02 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Application of Bioinformatics in Cancers by : Chad Brenner
Download or read book Application of Bioinformatics in Cancers written by Chad Brenner and published by MDPI. This book was released on 2019-11-20 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.
Book Synopsis Early Detection of Breast Cancer by : S. Brünner
Download or read book Early Detection of Breast Cancer written by S. Brünner and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: The enormous expansion seen over the last decade in the mammo graphic detection of breast cancer lesions, especially the use of screen ing procedures for the early detection of clinically unsuspected tumors, has made it necessary to summarize the experience made by various centers in the world. The 2nd International Copenhagen Symposium on Detection of Breast Cancer afforded an opportunity of gathering scientists from all over the world to discuss the various problems of early breast cancer detection with special reference to screening procedures. This book forms a synthesis of the information presented by leading scientists from many of the world's mammo graphic centers, particularly those in Sweden and the USA. Hence, the reader will have the opportunity to study the outstanding work carried out by various institutes and centers of breast cancer screening. It is our sincere hope that a study of this volume will encourage other scientists to join in the work on screening procedures. S. Brunner B. Langfeldt P. E. Andersen Contents S. A. Feig: 1 Hypothetical Breast Cancer Risk from Mammography S. A. Feig: Benefits and Risks of Mammography 11 R. L. Egan and M. B. McSweeney: Multicentric Breast Carcinoma . . . . . . . . . . . . . . . . . . . . . . . . 28 M. B. McSweeney and R. L. Egan: Breast Cancer in the Younger Patient: A Preliminary Report 36 M. B. McSweeney and R. L. Egan: Bilateral Breast Carcinoma . . . . . . . . . . . . . . . . . . . . . . . . . . . ' 41 N. Bjurstam: The Radiographic Appearance of Normal and Metastatic Axillary Lymph Nodes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 M. Moskowitz, S. A. Feig, C. Cole-Beuglet, S. H.
Book Synopsis Cancer Evolution by : Charles Swanton
Download or read book Cancer Evolution written by Charles Swanton and published by Perspectives Cshl. This book was released on 2017 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tumor progression is driven by mutations that confer growth advantages to different subpopulations of cancer cells. As a tumor grows, these subpopulations expand, accumulate new mutations, and are subjected to selective pressures from the environment, including anticancer interventions. This process, termed clonal evolution, can lead to the emergence of therapy-resistant tumors and poses a major challenge for cancer eradication efforts. Written and edited by experts in the field, this collection from Cold Spring Harbor Perspectives in Medicine examines cancer progression as an evolutionary process and explores how this way of looking at cancer may lead to more effective strategies for managing and treating it. The contributors review efforts to characterize the subclonal architecture and dynamics of tumors, understand the roles of chromosomal instability, driver mutations, and mutation order, and determine how cancer cells respond to selective pressures imposed by anticancer agents, immune cells, and other components of the tumor microenvironment. They compare cancer evolution to organismal evolution and describe how ecological theories and mathematical models are being used to understand the complex dynamics between a tumor and its microenvironment during cancer progression. The authors also discuss improved methods to monitor tumor evolution (e.g., liquid biopsies) and the development of more effective strategies for managing and treating cancers (e.g., immunotherapies). This volume will therefore serve as a vital reference for all cancer biologists as well as anyone seeking to improve clinical outcomes for patients with cancer.
Book Synopsis Evolution of Translational Omics by : Institute of Medicine
Download or read book Evolution of Translational Omics written by Institute of Medicine and published by National Academies Press. This book was released on 2012-09-13 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
Book Synopsis Bioinformatics Tools for Detection and Clinical Interpretation of Genomic Variations by : Ali Samadikuchaksaraei
Download or read book Bioinformatics Tools for Detection and Clinical Interpretation of Genomic Variations written by Ali Samadikuchaksaraei and published by BoD – Books on Demand. This book was released on 2019-09-04 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genomic variations and phenotypic diversity are closely linked and form the underlying mechanism for development of many human diseases. This book addresses the methods of detection, analysis, and interpretation of genomic variations in clinically relevant scenarios. If your research or clinical practice involves handling of genomic sequencing data, this book is for you. Topics covered include: methods for identifying genetic diversity, the workflow for analyzing whole exome and whole genome sequencing data, local ancestry deconvolution models, the value of molecular patterns and pattern biomarkers in cancer diagnosis and prognosis, and genotyping and profiling resistance-associated variants of hepatitis C. If your research or clinical practice involves handling of genomic sequencing data, this book is for you.
Book Synopsis Bioinformatics Analysis of Omics Data for Biomarker Identification in Clinical Research, Volume II by : Lixin Cheng
Download or read book Bioinformatics Analysis of Omics Data for Biomarker Identification in Clinical Research, Volume II written by Lixin Cheng and published by Frontiers Media SA. This book was released on 2023-09-05 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic is part of a series with, "Bioinformatics Analysis of Omics Data for Biomarker Identification in Clinical Research - Volume I" (https://www.frontiersin.org/research-topics/13816/bioinformatics-analysis-of-omics-data-for-biomarker-identification-in-clinical-research) The advances and the decreasing cost of omics data enable profiling of disease molecular features at different levels, including bulk tissues, animal models, and single cells. Large volumes of omics data enhance the ability to search for information for preclinical study and provide the opportunity to leverage them to understand disease mechanisms, identify molecular targets for therapy, and detect biomarkers of treatment response. Identification of stable, predictive, and interpretable biomarkers is a significant step towards personalized medicine and therapy. Omics data from genomics, transcriptomics, proteomics, epigenomics, metagenomics, and metabolomics help to determine biomarkers for prognostic and diagnostic applications. Preprocessing of omics data is of vital importance as it aims to eliminate systematic experimental bias and technical variation while preserving biological variation. Dozens of normalization methods for correcting experimental variation and bias in omics data have been developed during the last two decades, while only a few consider the skewness between different sample states, such as the extensive over-repression of genes in cancers. The choice of normalization methods determines the fate of identified biomarkers or molecular signatures. From these considerations, the development of appropriate normalization methods or preprocessing strategies may promote biomarker identification and facilitate clinical decision-making.
Book Synopsis Systematic identification of novel diagnostic and prognostic tumor biomarkers based on multi-omics data analysis of solid tumors by : Ming Jun Zheng
Download or read book Systematic identification of novel diagnostic and prognostic tumor biomarkers based on multi-omics data analysis of solid tumors written by Ming Jun Zheng and published by Frontiers Media SA. This book was released on 2024-01-08 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics by : Jiajie Peng
Download or read book Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics written by Jiajie Peng and published by Frontiers Media SA. This book was released on 2022-06-06 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Omics Data Integration towards Mining of Phenotype Specific Biomarkers in Cancer - Volume II by : Liang Cheng
Download or read book Omics Data Integration towards Mining of Phenotype Specific Biomarkers in Cancer - Volume II written by Liang Cheng and published by Frontiers Media SA. This book was released on 2022-11-29 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multi-Omics Analysis in Tumor Microenvironment and Tumor Heterogeneity by : Jinhui Liu
Download or read book Multi-Omics Analysis in Tumor Microenvironment and Tumor Heterogeneity written by Jinhui Liu and published by Frontiers Media SA. This book was released on 2023-09-25 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Colorectal Cancer Liver Metastases by : Mauro Monteiro Correia
Download or read book Colorectal Cancer Liver Metastases written by Mauro Monteiro Correia and published by Springer Nature. This book was released on 2019-12-28 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Colorectal cancer is the third most commonly diagnosed condition in oncology, affecting around 1.23 million individuals per year, according to recent statistics. Of these patients, about 50% will develop liver metastases and approximately 20% will present a stage IV disease at diagnosis. These statistics make colorectal liver metastases (CLM) an issue of major importance in current oncology. The area of CLM is subject to great and continuous advances, as its pathophysiologic mechanisms are better understood and more therapeutic and surgical options are developed. Consequently, all professionals involved with the diagnosis, treatment and follow up of CLM should be kept up to date with the latest advances on the field, to provide high standard medical care to their patients. This book is designed to present the state-of-the-art in CLM management and, in doing so, to review the current evidence on CLM, discussing all important topics in the field. Coverage is broad and comprehensive, encompassing introductory topics (history, definitions, epidemiology, etc.), basic science subjects (molecular biology, genetics, dissemination process, etc.) and practical clinical topics (tumor behavior, diagnosis, drug therapy, radiation therapy, surgery, ablation, multidisciplinary teams, etc.). Although comprehensive on the coverage and selection of topics, each chapter is concise and objective, dissecting topics in a practical and direct format. Evidences and recommendations are included. Chapters display a brief introduction of the common knowledge, go straight to the detailed revision of the most recent years of the literature, and end with practical closing observations. This book is a tool for professionals (general and cancer surgeons, HPB surgeons, clinical oncologists, gastroenterologists and medical residents) and interns who search for a qualified and reader friendly revision on topics concerning Colorectal Cancer Liver Metastases.
Book Synopsis Biomedical Image or Genomic Data Characterization and Radiogenomic/Image-omics by : Ming Fan
Download or read book Biomedical Image or Genomic Data Characterization and Radiogenomic/Image-omics written by Ming Fan and published by Frontiers Media SA. This book was released on 2022-09-27 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much of the emphasis in discussions about personalized medicine has been focused on the molecular characterization of tissue samples using microarray technology. However, as genetic differ between and within tumors and are quite heterogeneous, these techniques are limited. Imaging is noninvasive and is often used in routine clinical practice for disease diagnosis, treatment, and prognosis. Imaging is useful to guide disease therapy by providing a more comprehensive view of the entire lesion and it can be used on an ongoing basis to monitor lesion growth and progression or its response to treatment. The imaging includes but not limited to ultrasound, X-ray, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET). Radiomics refers to the conversion of images to high dimensional data and the subsequent mining for characterization of biology and ultimately to improve disease management for patients. Radiogenomics investigates relationships between imaging features and genomics, which represents the correlation between the anatomical-histological level to the genomic level. With advanced artificial intelligence methods, especially deep learning, data processing, feature extraction and data integration have been greatly improved. The topic is about artificial intelligence methods in biomedical images and genomics data for disease diagnosis, treatment, and prognosis, as listed here: • Biomarker identification from biomedical images to predict disease diagnosis, treatment, and prognosis • Radiogenomics/image-omics in identifying imaging biomarkers associated with molecular characteristics of the disease. • Machine learning/deep learning methods in biomedical imaging or genomics for disease detection and precision medicine. • Prediction of histological characteristics of disease based on biomedical imaging. • Integration of radiomics and genomics features for disease diagnosis, prognosis, and prediction medicine • Multimodality images or multi-omics data integration methods
Book Synopsis Biomarkers for Immunotherapy of Cancer by : Magdalena Thurin
Download or read book Biomarkers for Immunotherapy of Cancer written by Magdalena Thurin and published by Humana. This book was released on 2019-09-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the immune oncology (IO) community with a deeper understanding of the scope of the biomarker methods to potentially improve the outcome from immunotherapy. The editors secured the input from experts in the field dedicated to translating scientific research from bench to bedside was submitted. The book provides not only details about the technical, standardization and interpretation aspects of the methods but also introduces the reader to the background information and scientific justification for selected biomarkers and assays. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Book Synopsis Biomarker Detection Algorithms and Tools for Medical Imaging or Omic Data by : Fengfeng Zhou
Download or read book Biomarker Detection Algorithms and Tools for Medical Imaging or Omic Data written by Fengfeng Zhou and published by Frontiers Media SA. This book was released on 2022-07-13 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Ovarian Cancer Biomarkers by : Khalid El Bairi
Download or read book Ovarian Cancer Biomarkers written by Khalid El Bairi and published by Springer Nature. This book was released on 2021-10-09 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively summarizes the biology, etiology, and pathology of ovarian cancer and explores the role of deep molecular and cellular profiling in the advancement of precision medicine. The initial chapter discusses our current understanding of the origin, development, progression and tumorigenesis of ovarian cancer. In turn, the book highlights the development of resistance, disease occurrence, and poor prognosis that are the hallmarks of ovarian cancer. The book then reviews the role of deep molecular and cellular profiling to overcome challenges that are associated with the treatment of ovarian cancer. It explores the use of genome-wide association analysis to identify genetic variants for the evaluation of ovarian carcinoma risk and prognostic prediction. Lastly, it highlights various diagnostic and prognostic ovarian cancer biomarkers for the development of molecular-targeted therapy.
