Amazon cover image
Image from Amazon.com

Application of omics, AI and blockchain in bioinformatics research Edited by Jeffrey J-P Tsai and Ka-Lok Ng

Contributor(s): Material type: TextTextSeries: Advanced series in electrical and computer engineering ; vol. 21Publication details: Hachensack, New Jersey : World Scientific, c2020.Description: xiv, 192 p. : ill. ; 24 cmISBN:
  • 9789811203572
Subject(s): DDC classification:
  • 610.285 AP PL
Online resources: 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"--
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Notes Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 610.285 AP PL (Browse shelf(Opens below)) Checked out June2020 28/06/2022 T0064562

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"--

There are no comments on this title.

to post a comment.