Computational Methods For Precision Oncology

Author : Alessandro Laganà
Publisher : Springer Nature
Page : 341 pages
File Size : 45,8 Mb
Release : 2022-03-01
Category : Medical
ISBN : 9783030918361

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Computational Methods for Precision Oncology by Alessandro Laganà Pdf

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,Health and Medicine Division,Board on Health Care Services,National Cancer Policy Forum
Publisher : National Academies Press
Page : 93 pages
File Size : 52,9 Mb
Release : 2019-08-15
Category : Medical
ISBN : 9780309490818

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Improving Cancer Diagnosis and Care by National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Care Services,National Cancer Policy Forum Pdf

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,Carmelo Militello,Vincenzo Conti
Publisher : Mdpi AG
Page : 262 pages
File Size : 47,8 Mb
Release : 2021-12-06
Category : Science
ISBN : 3036525548

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Advanced Computational Methods for Oncological Image Analysis by Leonardo Rundo,Carmelo Militello,Vincenzo Conti Pdf

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 : Ehsan Nazemalhosseini-Mojarad ,Claudia Cava
Publisher : Frontiers Media SA
Page : 433 pages
File Size : 40,6 Mb
Release : 2023-08-02
Category : Science
ISBN : 9782832530382

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Computational Methods for Multi-Omics Data Analysis in Cancer Precision Medicine by Ehsan Nazemalhosseini-Mojarad ,Claudia Cava Pdf

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.

Author : Nosheen Masood,Saima Shakil Malik
Publisher : Springer Nature
Page : 499 pages
File Size : 48,5 Mb
Release : 2020-03-20
Category : Medical
ISBN : 9789811510670

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'Essentials of Cancer Genomic, Computational Approaches and Precision Medicine by Nosheen Masood,Saima Shakil Malik Pdf

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,Xiao Jun Yao,Ruo-Xu Gu
Publisher : Frontiers Media SA
Page : 135 pages
File Size : 49,6 Mb
Release : 2021-03-15
Category : Science
ISBN : 9782889666010

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Computational Approaches in Drug Discovery and Precision Medicine by Zunnan Huang,Xiao Jun Yao,Ruo-Xu Gu Pdf

Author : Mengsu Yang,Michael Thompson
Publisher : Royal Society of Chemistry
Page : 389 pages
File Size : 53,9 Mb
Release : 2020-12-14
Category : Science
ISBN : 9781788017619

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Detection Methods in Precision Medicine by Mengsu Yang,Michael Thompson Pdf

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,Venkatesan Amouda,Ampasala Dinakara Rao
Publisher : Elsevier
Page : 460 pages
File Size : 47,7 Mb
Release : 2023-03-22
Category : Computers
ISBN : 9780443152818

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Computational Methods in Drug Discovery and Repurposing for Cancer Therapy by Ganji Purnachandra Nagaraju,Venkatesan Amouda,Ampasala Dinakara Rao Pdf

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 : Gabriella Pravettoni,Stefano Triberti
Publisher : Springer Nature
Page : 191 pages
File Size : 50,8 Mb
Release : 2019-11-29
Category : Psychology
ISBN : 9783030279943

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P5 eHealth: An Agenda for the Health Technologies of the Future by Gabriella Pravettoni,Stefano Triberti Pdf

This open access volume focuses on the development of a P5 eHealth, or better, a methodological resource for developing the health technologies of the future, based on patients’ personal characteristics and needs as the fundamental guidelines for design. It provides practical guidelines and evidence based examples on how to design, implement, use and elevate new technologies for healthcare to support the management of incurable, chronic conditions. The volume further discusses the criticalities of eHealth, why it is difficult to employ eHealth from an organizational point of view or why patients do not always accept the technology, and how eHealth interventions can be improved in the future. By dealing with the state-of-the-art in eHealth technologies, this volume is of great interest to researchers in the field of physical and mental healthcare, psychologists, stakeholders and policymakers as well as technology developers working in the healthcare sector.

Author : Inna Kuperstein,Emmanuel Barillot
Publisher : CRC Press
Page : 167 pages
File Size : 41,7 Mb
Release : 2019-09-09
Category : Computers
ISBN : 9781000682922

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Computational Systems Biology Approaches in Cancer Research by Inna Kuperstein,Emmanuel Barillot Pdf

Praise for Computational Systems BiologyApproaches in Cancer Research: "Complex concepts are written clearly and with informative illustrations and useful links. The book is enjoyable to read yet provides sufficient depth to serve as a valuable resource for both students and faculty." — Trey Ideker, Professor of Medicine, UC Xan Diego, School of Medicine "This volume is attractive because it addresses important and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches, exposes recent innovations in computational methods, and provides acces to source code and to dedicated interactive web sites." — Yves Moreau, Department of Electrical Engineering, SysBioSys Centre for Computational Systems Biology, University of Leuven With the availability of massive amounts of data in biology, the need for advanced computational tools and techniques is becoming increasingly important and key in understanding biology in disease and healthy states. This book focuses on computational systems biology approaches, with a particular lens on tackling one of the most challenging diseases - cancer. The book provides an important reference and teaching material in the field of computational biology in general and cancer systems biology in particular. The book presents a list of modern approaches in systems biology with application to cancer research and beyond. It is structured in a didactic form such that the idea of each approach can easily be grasped from the short text and self-explanatory figures. The coverage of topics is diverse: from pathway resources, through methods for data analysis and single data analysis to drug response predictors, classifiers and image analysis using machine learning and artificial intelligence approaches. Features Up to date using a wide range of approaches Applicationexample in each chapter Online resources with useful applications’

Author : Angela Re,Caterina Nardella,Alessandro Quattrone,Andrea Lunardi
Publisher : Frontiers Media SA
Page : 163 pages
File Size : 48,7 Mb
Release : 2019-01-21
Category : Electronic
ISBN : 9782889457052

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Precision Medicine in Oncology by Angela Re,Caterina Nardella,Alessandro Quattrone,Andrea Lunardi Pdf

The emerging precision medicine approach aims to tailor disease prevention and treatment to each patient on the basis of individual variability, environmental factors and lifestyle. Fundamental achievements in the last few decades have converged to offer nowadays the compelling opportunity to move towards this innovative approach: i) unprecedented improvements in disease modeling in silico, in vitro and in vivo; ii) acquisition of a wide range of biomedical information combined with the development of computational toolsets for flexible and integrative analyses of multi-assay datasets. Our deeper understanding of oncogenic mechanisms has finally begun to have a crucial impact on clinical decisions at several steps, from cancer prevention and diagnosis to therapeutic intervention. However, precision oncology still encounters several unresolved hurdles including tumour heterogeneity and recurrence as well as unexplained drug resistance and lack of effective ways to monitor response to therapeutic treatments. Notably, limitations in biomedical research regulation and governance represent additional debatable issues that need careful consideration.

Author : National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Care Services,National Cancer Policy Forum
Publisher : National Academies Press
Page : 93 pages
File Size : 41,6 Mb
Release : 2019-07-15
Category : Medical
ISBN : 9780309490849

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Improving Cancer Diagnosis and Care by National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Care Services,National Cancer Policy Forum Pdf

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 : Mukesh Verma,Debmalya Barh
Publisher : Academic Press
Page : 344 pages
File Size : 42,7 Mb
Release : 2016-12-22
Category : Medical
ISBN : 9780128095027

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Progress and Challenges in Precision Medicine by Mukesh Verma,Debmalya Barh Pdf

Progress and Challenges in Precision Medicine presents an insightful overview to the myriad factors of personalized and precision medicine. The availability of the human genome, large amounts of data on individual genetic variations, environmental interactions, influence of lifestyle, and cutting-edge tools and technologies for big-data analysis have led to the age of personalized and precision medicine. Bringing together a global range of experts on precision medicine, this book collects previously scattered information into one concise volume which covers the most important developments so far in precision medicine and also suggests the most likely avenues for future development. The book includes clinical information, informatics, public policy implications, and information on case studies. It is a useful reference and background work for students, researchers, and clinicians working in the biomedical and medical fields, as well as policymakers in the health sciences. Provides an overview of the growing field of precision medicine Contains chapters from geographically diverse experts in their field Explores important aspects of precision medicine, including applications, ethics, and development

Author : Tuan Pham
Publisher : Springer Science & Business Media
Page : 309 pages
File Size : 43,6 Mb
Release : 2009-09-23
Category : Medical
ISBN : 9781441908117

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Computational Biology by Tuan Pham Pdf

This volume covers techniques in computational biology and their applications in oncology. It details advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, and image and pattern analysis applied to cancer research.

Author : George Bebis,Terry Gaasterland,Mamoru Kato,Mohammad Kohandel,Kathleen Wilkie
Publisher : Unknown
Page : 0 pages
File Size : 44,6 Mb
Release : 2021
Category : Computer organization
ISBN : 3030912426

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Mathematical and Computational Oncology by George Bebis,Terry Gaasterland,Mamoru Kato,Mohammad Kohandel,Kathleen Wilkie Pdf

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.