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Author : Andrea Legati
Publisher : Frontiers Media SA
Page : 165 pages
File Size : 42,8 Mb
Release : 2022-11-30
Category : Science
ISBN : 9782832507865
Author : Anonim
Publisher : Unknown
Page : 204 pages
File Size : 44,6 Mb
Release : 2021-12-13
Category : Science
ISBN : 3036526021
Author : Murali Muralidhara,Padmanabhan S. Rajini
Publisher : Elsevier
Page : 752 pages
File Size : 40,5 Mb
Release : 2023-08-07
Category : Medical
ISBN : 9780443153969
Ayurvedic Herbal Preparations in Neurological Disorders provides a comprehensive and mechanistic understanding of the therapeutic potential of many ayurvedic herbal preparations in disease management. Examining research data for evidence-based ayurvedic approaches, this volume begins with a focused introduction to major ayurvedic plants, discussing various mechanisms underlying their neuromodulatory potential in preclinical and clinical settings. Major subsets of ayurvedic plants are discussed, including Bacopa monnieri, Centella asiatica, Withania somnifera, and others. This volume outlines the importance of integrative approaches along with existing treatments in the intervention/management of Alzheimer’s disease, Parkinson’s disease, depressive mood disorders, epilepsy, schizophrenia, and more. More than a mere compilation of studies, this volume identifies relevant gaps for future research avenues and encourages interdisciplinary collaboration and sharing of knowledge to together identify the most efficacious ayurvedic approaches. Highlighting recent developments (e.g., Ayurgenomics, Ayurahar) and other pertinent research for neuroprotection, this book is crucial for anyone researching or working in the field of neurological disorder treatment and prevention. Provides a focused introduction to major Ayurvedic plants and their therapeutic potential in the management of neurodegenerative diseases Discusses various mechanisms underlying the neuromodulatory potential of several ayurvedic herbal preparations in preclinical and clinical settings Examines major subsets of ayurvedic plants (e.g., Bacopa monnieri, Centella asiatica, Withaniasomnifera, and others) and potential of several other plants in various neurological disorders Outlines the importance of integrative approaches along with existing treatments in the intervention/management of depressive mood disorders, epilepsy, schizophrenia, and more Highlights recent developments (e.g., Ayurgenomics, Ayurahar) and other pertinent research for neuroprotection
Author : Khaled Fares AlAli
Publisher : Springer Nature
Page : 335 pages
File Size : 41,8 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9783031586309
Author : Long-Biao Cui,Min Cai,Baojuan Li,Hua-ning Wang,Yongbin Wei,Hong Yin
Publisher : Frontiers Media SA
Page : 113 pages
File Size : 41,5 Mb
Release : 2023-03-07
Category : Science
ISBN : 9782832516942
Author : Shouneng Peng,Ailan Wang,Junjun Ding,Lilach Soreq
Publisher : Frontiers Media SA
Page : 139 pages
File Size : 43,6 Mb
Release : 2024-03-13
Category : Science
ISBN : 9782832546321
Author : Institute of Medicine,Board on Health Sciences Policy,Board on Health Care Services,Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials
Publisher : National Academies Press
Page : 354 pages
File Size : 41,7 Mb
Release : 2012-09-13
Category : Science
ISBN : 9780309224185
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.
Author : Aarif Ali,Muneeb U Rehman,Sheikh Bilal Ahmad,Azher Arafah
Publisher : Elsevier
Page : 420 pages
File Size : 49,5 Mb
Release : 2024-06-28
Category : Science
ISBN : 9780443239700
"Biological Insights of Multi-Omics Technologies in Human Diseases ́ provides detailed information about the basics of multi-omic technologies including ethics, historical perspective, science, drug discovery, and development and metabolism. With a strong focus on the practical application of omics approaches in cancer, cardiovascular, neurology, respiratory, viral, gastroenterology, autoimmune diseases, PCOS and tuberculosis, this book also includes special topics related to COVID-19 and Machine learning approaches. In 13 chapters this book provides comprehensive coverage of the challenges and opportunities facing the therapeutic implications of multi-omics from academic, regulatory, pharmaceutical, socio-ethical, and economic perspectives. The chapters are designed in a well-defined chronology such that readers will intuitively understand the central idea. This book is an ideal resource for health professionals, scientists and researchers, nutritionists, health practitioners, students, and all those who wish to broaden their knowledge in the allied field. • Explains the in-depth role of multi-omics on drug discovery/metabolism, diseases, and highlights progress in both the research and clinical areas of computation, as well as relevant implementation experience and challenges. • Describes the practice of multi-omic technologies in the treatment of several diseases. • Includes practical application and machine learning approaches of multi-omics.
Author : Dunfang Zhang,Junji Xu,Hiroko Nakatsukasa,Zhi Wang
Publisher : Frontiers Media SA
Page : 158 pages
File Size : 52,5 Mb
Release : 2023-07-03
Category : Medical
ISBN : 9782832527887
Author : Min Tang,Tao Huang,Jialiang Yang,Cheng Guo
Publisher : Frontiers Media SA
Page : 224 pages
File Size : 52,8 Mb
Release : 2022-11-23
Category : Science
ISBN : 9782832506677
As the cost of high-throughput sequencing goes down, huge volumes of biological and medical data have been produced from various sequencing platforms at multiple molecular levels including genome, transcriptome, proteome, epigenome, metabolome, and so on. For a long time, data analysis on single molecular levels has paved the way to answer many important research questions. However, many Aging-Related Neuronal Diseases (ARNDs) and Central Nervous System (CNS) aging involve interactions of molecules from multiple molecular levels, in which conclusions based on single molecular levels are usually incomplete and sometimes misleading. In these scenarios, multi-omics data analysis has unprecedentedly helped capture much more useful information for the diagnosis, treatment, prognosis, and drug discovery of ARNDs. The first step towards a multi-omics analysis is to establish reliable and robust multi-omics datasets. In the past years, a few important ARNDs-associated multi-omics databases like Allen Brain have been constructed, which raised immediate needs like data curation, normalization, interpretation, and visualization for integrative multi-omics explorations. Though there have been several well-established multi-omics databases for ARNDs like Alzheimer’s disease, similar databases for other ARNDs are still in urgent need. After the databases establish, many computational tools and experiential strategies should be developed specifically for them. First, the multi-omics data are usually extremely noisy, complex, heterogeneous and in high dimension, which presents the need for appropriate denoising and dimension reduction methods. Second, since the multi-omics and non-omics data like pathological and clinical data are usually in different data spaces, a useful algorithm to mapping them into the same data space and integrate them is nontrivial. In the multi-omics era, there are numerous data-centric tools for the integration of multi-omics datasets, which could be generally divided into three categories: unsupervised, supervised, and semi-supervised methods. Commonly used algorithms include but not limited to Bayesian-based methods, Network-based methods, multi-step analysis methods, and multiple kernel learning methods. Third, methods are needed in studying and verifying the association between two or more levels of multi-omics data and non-omics data. For example, expression quantitative trait loci (eQTL) analysis is widely used to infer the association between a single nucleotide polymorphism (SNP) and the expression of a gene. Recently, the association between omics data and more complex data like pathological and clinical imaging data has been a hot research topic. The outcomes may reveal the underlying molecular mechanism and promote de novo drug design as well as drug repurposing for ARNDs. Here, we welcome investigators to share their Original Research, Review, Mini Review, Hypothesis and Theory, Perspective, Conceptual Analysis, Data Report, Brief Research Report, Code related to multi-omics studies of ARNDs, which can be applied for better diagnosis, treatment, prognosis and drug discovery of human diseases in the future era of precision medicine. Potential contents include but are not limited to the following: ▪ Methods for integrating, interpreting, or visualizing two or more omics data. ▪ Methods for identifying interactions between different data modalities. ▪ Methods for disease subtyping, biomarker prediction. ▪ Machine learning or deep learning methods on dimensional reduction and feature selection for big noisy data. ▪ Methods for studying the association among different omics data or between omics and non-omics data like clinical, pathological, and imaging data. ▪ Review of multi-omics resource about ARNDs and/or CNS aging. ▪ Experimental validation of biomarkers identified from multi-omics data analysis. ▪ Disease diagnosis and prognosis prediction from imaging and non-imaging data analysis, or both. ▪ Clinical applications or validations of findings from multi-omics data analysis.
Author : Anonim
Publisher : Academic Press
Page : 450 pages
File Size : 49,9 Mb
Release : 2019-02-06
Category : Business & Economics
ISBN : 9780128145142
Computational Epigenetics and Diseases, written by leading scientists in this evolving field, provides a comprehensive and cutting-edge knowledge of computational epigenetics in human diseases. In particular, the major computational tools, databases, and strategies for computational epigenetics analysis, for example, DNA methylation, histone modifications, microRNA, noncoding RNA, and ceRNA, are summarized, in the context of human diseases. This book discusses bioinformatics methods for epigenetic analysis specifically applied to human conditions such as aging, atherosclerosis, diabetes mellitus, schizophrenia, bipolar disorder, Alzheimer disease, Parkinson disease, liver and autoimmune disorders, and reproductive and respiratory diseases. Additionally, different organ cancers, such as breast, lung, and colon, are discussed. This book is a valuable source for graduate students and researchers in genetics and bioinformatics, and several biomedical field members interested in applying computational epigenetics in their research. Provides a comprehensive and cutting-edge knowledge of computational epigenetics in human diseases Summarizes the major computational tools, databases, and strategies for computational epigenetics analysis, such as DNA methylation, histone modifications, microRNA, noncoding RNA, and ceRNA Covers the major milestones and future directions of computational epigenetics in various kinds of human diseases such as aging, atherosclerosis, diabetes, heart disease, neurological disorders, cancers, blood disorders, liver diseases, reproductive diseases, respiratory diseases, autoimmune diseases, human imprinting disorders, and infectious diseases
Author : Andres Kriete,Roland Eils
Publisher : Elsevier
Page : 424 pages
File Size : 51,6 Mb
Release : 2005-11-10
Category : Computers
ISBN : 008045934X
Systems Biology is concerned with the quantitative study of complex biosystems at the molecular, cellular, tissue, and systems scales. Its focus is on the function of the system as a whole, rather than on individual parts. This exciting new arena applies mathematical modeling and engineering methods to the study of biological systems. This book is the first of its kind to focus on the newly emerging field of systems biology with an emphasis on computational approaches. The work covers new concepts, methods for information storage, mining and knowledge extraction, reverse engineering of gene and metabolic networks, as well as modelling and simulation of multi-cellular systems. Central themes include strategies for predicting biological properties and methods for elucidating structure-function relationships.
Author : Fengfeng Zhou,William C. Cho,Lin Hua,Jie Li,Feng Liu
Publisher : Frontiers Media SA
Page : 246 pages
File Size : 49,7 Mb
Release : 2022-07-13
Category : Science
ISBN : 9782889765706
Author : George Priya Doss C,Thirumal Kumar D,Balu Kamaraj
Publisher : Frontiers Media SA
Page : 196 pages
File Size : 48,6 Mb
Release : 2023-11-06
Category : Medical
ISBN : 9782832538333
Author : Liang Cheng,Lei Deng,Mingxiang Teng
Publisher : Frontiers Media SA
Page : 233 pages
File Size : 53,6 Mb
Release : 2020-12-31
Category : Science
ISBN : 9782889663330
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
