Literature DB >> 24183925

Big data in biomedicine.

Fabricio F Costa1.   

Abstract

The increasing availability and growth rate of biomedical information, also known as 'big data', provides an opportunity for future personalized medicine programs that will significantly improve patient care. Recent advances in information technology (IT) applied to biomedicine are changing the landscape of privacy and personal information, with patients getting more control of their health information. Conceivably, big data analytics is already impacting health decisions and patient care; however, specific challenges need to be addressed to integrate current discoveries into medical practice. In this article, I will discuss the major breakthroughs achieved in combining omics and clinical health data in terms of their application to personalized medicine. I will also review the challenges associated with using big data in biomedicine and translational science.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 24183925     DOI: 10.1016/j.drudis.2013.10.012

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  47 in total

1.  Big Data in medical research and EU data protection law: challenges to the consent or anonymise approach.

Authors:  Menno Mostert; Annelien L Bredenoord; Monique C I H Biesaart; Johannes J M van Delden
Journal:  Eur J Hum Genet       Date:  2015-11-11       Impact factor: 4.246

Review 2.  The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts.

Authors:  Brent Daniel Mittelstadt; Luciano Floridi
Journal:  Sci Eng Ethics       Date:  2015-05-23       Impact factor: 3.525

3.  Ethics and Epistemology in Big Data Research.

Authors:  Wendy Lipworth; Paul H Mason; Ian Kerridge; John P A Ioannidis
Journal:  J Bioeth Inq       Date:  2017-03-20       Impact factor: 1.352

Review 4.  Big Data in Health: a Literature Review from the Year 2005.

Authors:  Isabel de la Torre Díez; Héctor Merino Cosgaya; Begoña Garcia-Zapirain; Miguel López-Coronado
Journal:  J Med Syst       Date:  2016-08-13       Impact factor: 4.460

5.  An Introduction to Programming for Bioscientists: A Python-Based Primer.

Authors:  Berk Ekmekci; Charles E McAnany; Cameron Mura
Journal:  PLoS Comput Biol       Date:  2016-06-07       Impact factor: 4.475

6.  Ethics and Epistemology of Big Data.

Authors:  Wendy Lipworth; Paul H Mason; Ian Kerridge
Journal:  J Bioeth Inq       Date:  2017-11-08       Impact factor: 1.352

Review 7.  A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector.

Authors:  Susel Góngora Alonso; Isabel de la Torre Díez; Joel J P C Rodrigues; Sofiane Hamrioui; Miguel López-Coronado
Journal:  J Med Syst       Date:  2017-10-14       Impact factor: 4.460

8.  Big Data Transforms Discovery-Utilization Therapeutics Continuum.

Authors:  S A Waldman; A Terzic
Journal:  Clin Pharmacol Ther       Date:  2016-03       Impact factor: 6.875

Review 9.  Using Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases.

Authors:  Benjamin Wooden; Nicolas Goossens; Yujin Hoshida; Scott L Friedman
Journal:  Gastroenterology       Date:  2016-10-20       Impact factor: 33.883

10.  Factors associated with drug survival on first biologic therapy in patients with rheumatoid arthritis: a population-based cohort study.

Authors:  Mohammad E Naffaa; Fadi Hassan; Avivit Golan-Cohen; Eugene Merzon; Ilan Green; Amir Saab; Ziv Paz
Journal:  Rheumatol Int       Date:  2021-09-16       Impact factor: 2.631

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