Application of omics, AI and blockchain in bioinformatics research [electronic resource] / edited by Jeffrey J-P Tsai, Ka-Lok Ng.
Contributor(s): Tsai, Jeffrey J.-P
| Ng, Ka-Lok.
Material type: 
BookSeries: Advanced series in electrical and computer engineering ; v. 21.Publisher: Singapore : World Scientific Publishing Co. Pte Ltd., ©2019Description: 1 online resource (208 p.) : ill.ISBN: 9789811203589.Subject(s): Life sciences -- Data processing | Biotechnology -- Data processing | Biomedical engineering -- Data processing | Bioinformatics | Blockchains (Databases) | Artificial intelligence | Electronic booksDDC classification: 610.285 Online resources: Access to full text is restricted to subscribers. Summary: "With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly important role in paving the way as basis for patient-centric healthcare. Two such areas are: (i) implementing AI algorithms supported by biomedical data would deliver significant benefits/improvements towards the goals of precision medicine (ii) blockchain technology will enable medical doctors to securely and privately build personal healthcare records, and identify the right therapeutic treatments and predict the progression of the diseases. A follow-up in the publication of our book Computation Methods with Applications in Bioinformatics Analysis (2017), topics in this volume include: clinical bioinformatics, Omics-based data analysis, Artificial Intelligence (AI), blockchain, big data analytics, drug discovery, RNA-seq analysis, tensor decomposition and Boolean network."-- Publisher's website.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Online resource; title from title screen (World Scientific, viewed October 24, 2019).
Includes bibliographical references and index.
"With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly important role in paving the way as basis for patient-centric healthcare. Two such areas are: (i) implementing AI algorithms supported by biomedical data would deliver significant benefits/improvements towards the goals of precision medicine (ii) blockchain technology will enable medical doctors to securely and privately build personal healthcare records, and identify the right therapeutic treatments and predict the progression of the diseases. A follow-up in the publication of our book Computation Methods with Applications in Bioinformatics Analysis (2017), topics in this volume include: clinical bioinformatics, Omics-based data analysis, Artificial Intelligence (AI), blockchain, big data analytics, drug discovery, RNA-seq analysis, tensor decomposition and Boolean network."-- Publisher's website.
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