Computational Methods For Multi Omics Data Analysis In Cancer Precision Medicine
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Computational Methods For Multi Omics Data Analysis In Cancer Precision Medicine
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Author : Ehsan Nazemalhosseini-Mojarad
language : en
Publisher: Frontiers Media SA
Release Date : 2023-08-02
Computational Methods For Multi Omics Data Analysis In Cancer Precision Medicine written by Ehsan Nazemalhosseini-Mojarad and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-02 with Science categories.
Cancer is a complex and heterogeneous disease often caused by different alterations. The development of human cancer is due to the accumulation of genetic and epigenetic modifications that could affect the structure and function of the genome. High-throughput methods (e.g., microarray and next-generation sequencing) can investigate a tumor at multiple levels: i) DNA with genome-wide association studies (GWAS), ii) epigenetic modifications such as DNA methylation, histone changes and microRNAs (miRNAs) iii) mRNA. The availability of public datasets from different multi-omics data has been growing rapidly and could facilitate better knowledge of the biological processes of cancer. Computational approaches are essential for the analysis of big data and the identification of potential biomarkers for early and differential diagnosis, and prognosis.
Machine Learning Advanced Dynamic Omics Data Analysis For Precision Medicine
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Author : Tao Zeng
language : en
Publisher: Frontiers Media SA
Release Date : 2020-03-30
Machine Learning Advanced Dynamic Omics Data Analysis For Precision Medicine written by Tao Zeng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-30 with categories.
Advanced Computational Methods For Oncological Image Analysis
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Author : Leonardo Rundo
language : en
Publisher:
Release Date : 2021
Advanced Computational Methods For Oncological Image Analysis written by Leonardo Rundo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
[Cancer is the second most common cause of death worldwide and encompasses highly variable clinical and biological scenarios. Some of the current clinical challenges are (i) early diagnosis of the disease and (ii) precision medicine, which allows for treatments targeted to specific clinical cases. The ultimate goal is to optimize the clinical workflow by combining accurate diagnosis with the most suitable therapies. Toward this, large-scale machine learning research can define associations among clinical, imaging, and multi-omics studies, making it possible to provide reliable diagnostic and prognostic biomarkers for precision oncology. Such reliable computer-assisted methods (i.e., artificial intelligence) together with clinicians' unique knowledge can be used to properly handle typical issues in evaluation/quantification procedures (i.e., operator dependence and time-consuming tasks). These technical advances can significantly improve result repeatability in disease diagnosis and guide toward appropriate cancer care. Indeed, the need to apply machine learning and computational intelligence techniques has steadily increased to effectively perform image processing operations--such as segmentation, co-registration, classification, and dimensionality reduction--and multi-omics data integration.].
Computational Methods For Precision Oncology
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Author : Alessandro Laganà
language : en
Publisher: Springer Nature
Release Date : 2022-03-01
Computational Methods For Precision Oncology written by Alessandro Laganà and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-01 with Medical categories.
Precision medicine holds great promise for the treatment of cancer and represents a unique opportunity for accelerated development and application of novel and repurposed therapeutic approaches. Current studies and clinical trials demonstrate the benefits of genomic profiling for patients whose cancer is driven by specific, targetable alterations. However, precision oncologists continue to be challenged by the widespread heterogeneity of cancer genomes and drug responses in designing personalized treatments. Chapters provide a comprehensive overview of the computational approaches, methods, and tools that enable precision oncology, as well as related biological concepts. Covered topics include genome sequencing, the architecture of a precision oncology workflow, and introduces cutting-edge research topics in the field of precision oncology. This book is intended for computational biologists, bioinformaticians, biostatisticians and computational pathologists working in precision oncology and related fields, including cancer genomics, systems biology, and immuno-oncology.
Analyzing Network Data In Biology And Medicine
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Author : Nataša Pržulj
language : en
Publisher: Cambridge University Press
Release Date : 2019-03-28
Analyzing Network Data In Biology And Medicine written by Nataša Pržulj and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-28 with Language Arts & Disciplines categories.
Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.
Bioinformatics Analysis Of Single Cell Sequencing Data And Applications In Precision Medicine
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Author : Jialiang Yang
language : en
Publisher: Frontiers Media SA
Release Date : 2020-02-27
Bioinformatics Analysis Of Single Cell Sequencing Data And Applications In Precision Medicine written by Jialiang Yang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-27 with categories.
Learning To Classify Text Using Support Vector Machines
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Author : Thorsten Joachims
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Learning To Classify Text Using Support Vector Machines written by Thorsten Joachims and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theoretical understanding and improved robustness. In particular, it is highly effective without greedy heuristic components. The SVM approach is computationally efficient in training and classification, and it comes with a learning theory that can guide real-world applications. Learning To Classify Text Using Support Vector Machines gives a complete and detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, efficient performance estimation, and a statistical learning model of text classification. In addition, it includes an overview of the field of text classification, making it self-contained even for newcomers to the field. This book gives a concise introduction to SVMs for pattern recognition, and it includes a detailed description of how to formulate text-classification tasks for machine learning.
Advances In Ai Based Tools For Personalized Cancer Diagnosis Prognosis And Treatment
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Author : Israel Tojal Da Silva
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-21
Advances In Ai Based Tools For Personalized Cancer Diagnosis Prognosis And Treatment written by Israel Tojal Da Silva and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-21 with Science categories.
Multi Omics Technology In Human Health And Diseases
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Author : Muzafar A Macha
language : en
Publisher: Elsevier
Release Date : 2025-03-17
Multi Omics Technology In Human Health And Diseases written by Muzafar A Macha and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Science categories.
Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic provides a way forward in understanding complete disease etiology and prognosis. This unique book gives a comprehensive understanding of multi-omics technology and its applications in understanding complex human health and disease and not only introduces the technology, but also its use for biomarker identification, drug discovery, and disease prognostication. A comprehensive understanding of human health and diseases, particularly cancer, requires knowledge of molecular biomarkers at a multi-omics level, including genome, epigenome, transcriptome, proteome, and metabolome, which is meagerly available or highly lacking among the students and scientific researchers. This book covers all the aspects of multi-omics technology and how this technology can be implemented into scientific research and discovery.Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic is the first resource to present the latest information on currently utilized multi-omics technology for big data interpretation and their applications in understanding the complex human pathobiology. This is the perfect resource for researchers, academia, students, as well as the industrial audience. - Presents the most recent advancements in multiomics technology for elucidating complex human pathobiology. - Offers comprehensive insights into understanding disease etiology and prognosis. - Introduces the principles of multiomics technology and its applications in biomarker identification, drug discovery, and disease prognostication. - Explores the tools and methodologies for integrating and interpreting multiomics data sets. - Introduces multiomics databases and visualization web portals. - Provides up-to-date information on the role of multiomics technology in understanding intricate human pathobiology.
Innovations In Healthcare And Outcome Measurement
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Author : Philipp Plugmann
language : en
Publisher: Springer Nature
Release Date : 2025-03-10
Innovations In Healthcare And Outcome Measurement written by Philipp Plugmann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Medical categories.
Several innovations have revolutionized the healthcare sector in recent years. Digitalization, personalized medicine, Advanced Cell, and Tissue Engineering, and AI are some keywords associated with improving the prevention and therapy of diseases, i.e., to combat our crisis of non-communicable diseases. One of the key areas where innovation has had a profound impact is precision medicine. Precision medicine seeks to understand the unique genetic, environmental, and lifestyle factors contributing to an individual's health and disease risk. Through advancements in genomics, proteomics, and other molecular profiling techniques, healthcare providers can now gain a deeper understanding of a patient's molecular makeup. This knowledge allows for targeted interventions and therapies tailored to the specific needs of each individual, maximizing treatment efficacy and minimizing adverse effects. Furthermore, the development of advanced diagnostic tools has greatly enhanced the accuracy and efficiency of disease detection and monitoring. Innovations such as high-resolution imaging technologies, wearable sensors, and liquid biopsies have revolutionized the diagnostic landscape. Integrating artificial intelligence (AI) and machine learning (ML) algorithms has further augmented the capabilities of healthcare management and precision medicine capabilities. This book aims to bring up-to-date new ideas, opinions, development, and critical issues in healthcare and personalized medicine. We are interested in relevant articles covering a broad range of topics, such as: • Advances in medical devices • Digitalization and data-driven technologies • AI and algorithm-based drug development (molecule building, enhancement, clinical trials) • Diagnostic imaging • Personalized medicine • Nutrition • Oral health care • Healthcare management in certain diseases and population groups • Regulatory developments • Data management • Digital Healthcare Chapter "Unlocking the Code of Innovation: TRIZ Theory’s Blueprint for Precision Medicine Breakthroughs" is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). For further details see licence information in the chapter.