Computational Methods For Precision Oncology PDF Download
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Author | : Alessandro Laganà |
Publisher | : Springer Nature |
Total Pages | : 341 |
Release | : 2022-03-01 |
Genre | : Medical |
ISBN | : 303091836X |
Download Computational Methods for Precision Oncology Book in PDF, ePub and Kindle
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.
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 93 |
Release | : 2019-08-15 |
Genre | : Medical |
ISBN | : 0309490812 |
Download Improving Cancer Diagnosis and Care Book in PDF, ePub and Kindle
A hallmark of high-quality cancer care is the delivery of the right treatment to the right patient at the right time. Precision oncology therapies, which target specific genetic changes in a patient's cancer, are changing the nature of cancer treatment by allowing clinicians to select therapies that are most likely to benefit individual patients. In current clinical practice, oncologists are increasingly formulating cancer treatment plans using results from complex laboratory and imaging tests that characterize the molecular underpinnings of an individual patient's cancer. These molecular fingerprints can be quite complex and heterogeneous, even within a single patient. To enable these molecular tumor characterizations to effectively and safely inform cancer care, the cancer community is working to develop and validate multiparameter omics tests and imaging tests as well as software and computational methods for interpretation of the resulting datasets. To examine opportunities to improve cancer diagnosis and care in the new precision oncology era, the National Cancer Policy Forum developed a two-workshop series. The first workshop focused on patient access to expertise and technologies in oncologic imaging and pathology and was held in February 2018. The second workshop, conducted in collaboration with the Board on Mathematical Sciences and Analytics, was held in October 2018 to examine the use of multidimensional data derived from patients with cancer, and the computational methods that analyze these data to inform cancer treatment decisions. This publication summarizes the presentations and discussions from the second workshop.
Author | : Leonardo Rundo |
Publisher | : Mdpi AG |
Total Pages | : 262 |
Release | : 2021-12-06 |
Genre | : Science |
ISBN | : 9783036525549 |
Download Advanced Computational Methods for Oncological Image Analysis Book in PDF, ePub and Kindle
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.
Author | : Nosheen Masood |
Publisher | : Springer Nature |
Total Pages | : 499 |
Release | : 2020-03-20 |
Genre | : Medical |
ISBN | : 9811510679 |
Download 'Essentials of Cancer Genomic, Computational Approaches and Precision Medicine Book in PDF, ePub and Kindle
This book concisely describes the role of omics in precision medicine for cancer therapies. It outlines our current understanding of cancer genomics, shares insights into the process of oncogenesis, and discusses emerging technologies and clinical applications of cancer genomics in prognosis and precision-medicine treatment strategies. It then elaborates on recent advances concerning transcriptomics and translational genomics in cancer diagnosis, clinical applications, and personalized medicine in oncology. Importantly, it also explains the importance of high-performance analytics, predictive modeling, and system biology in cancer research. Lastly, the book discusses current and potential future applications of pharmacogenomics in clinical cancer therapy and cancer drug development.
Author | : Zunnan Huang |
Publisher | : Frontiers Media SA |
Total Pages | : 135 |
Release | : 2021-03-15 |
Genre | : Science |
ISBN | : 2889666018 |
Download Computational Approaches in Drug Discovery and Precision Medicine Book in PDF, ePub and Kindle
Author | : Andrea Garofoli |
Publisher | : |
Total Pages | : 0 |
Release | : 2021 |
Genre | : |
ISBN | : |
Download Computational Approaches to Improve Precision Oncology Book in PDF, ePub and Kindle
Author | : Mengsu Yang |
Publisher | : Royal Society of Chemistry |
Total Pages | : 389 |
Release | : 2020-12-14 |
Genre | : Science |
ISBN | : 1788017617 |
Download Detection Methods in Precision Medicine Book in PDF, ePub and Kindle
This book will be among the first to cover the detection methods for precision medicine that are set to transform health care in the future.
Author | : Ganji Purnachandra Nagaraju |
Publisher | : Elsevier |
Total Pages | : 460 |
Release | : 2023-03-22 |
Genre | : Computers |
ISBN | : 0443152810 |
Download Computational Methods in Drug Discovery and Repurposing for Cancer Therapy Book in PDF, ePub and Kindle
Computational Methods in Drug Discovery and Repurposing for Cancer Therapy provides knowledge about ongoing research as well as computational approaches for drug discovery and repurposing for cancer therapy. The book also provides detailed descriptions about target molecules, pathways, and their inhibitors for easy understanding and applicability. The book discusses tools and techniques such as integrated bioinformatics approaches, systems biology tools, molecular docking, computational chemistry, artificial intelligence, machine learning, structure-based virtual screening, biomarkers, and transcriptome; those are discussed in the context of different cancer types, such as colon, pancreatic, glioblastoma, endometrial, and retinoblastoma, among others. This book is a valuable resource for researchers, students, and members of the biomedical and medical fields who want to learn more about the use of computational modeling to better tailor the treatment for cancer patients. Discusses in silico remodeling of effective phytochemical compounds for discovering improved anticancer agents for substantial/significant cancer therapy Covers potential tools of bioinformatics that are applied toward discovering new targets by drug repurposing and strategies to cure different types of cancers Demonstrates the significance of computational and artificial intelligence approaches in anticancer drug discovery Explores how these various advances can be integrated into a precision and personalized medicine approach that can eventually enhance patient care
Author | : George Bebis |
Publisher | : Springer Nature |
Total Pages | : 91 |
Release | : 2021-12-11 |
Genre | : Computers |
ISBN | : 3030912418 |
Download Mathematical and Computational Oncology Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 3 full papers and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; spatio-temporal tumor modeling and simulation; general cancer computational biology; mathematical modeling for cancer research; computational methods for anticancer drug development.
Author | : Ehsan Nazemalhosseini-Mojarad |
Publisher | : Frontiers Media SA |
Total Pages | : 433 |
Release | : 2023-08-02 |
Genre | : Science |
ISBN | : 2832530389 |
Download Computational Methods for Multi-Omics Data Analysis in Cancer Precision Medicine Book in PDF, ePub and Kindle
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.