Article

A vision for a biomedical cloud

Institute for Genomics and Systems Biology, The University of Chicago, Chicago, IL 60637, USA.
Journal of Internal Medicine (Impact Factor: 5.79). 12/2011; 271(2):122-30. DOI: 10.1111/j.1365-2796.2011.02491.x
Source: PubMed

ABSTRACT We present a vision for a Biomedical Cloud that draws on progress in the fields of Genomics, Systems Biology and biomedical data mining. The successful fusion of these areas will combine the use of biomarkers, genetic variants, and environmental variables to build predictive models that will drastically increase the specificity and timeliness of diagnosis for a wide range of common diseases, whilst delivering accurate predictions about the efficacy of treatment options. However, the amount of data being generated by each of these fields is staggering, as is the task of managing and analysing it. Adequate computing infrastructure needs to be developed to assemble, manage and mine the enormous and rapidly growing corpus of 'omics' data along with clinical information. We have now arrived at an intersection point between genome technology, cloud computing and biological data mining. This intersection point provides a launch pad for developing a globally applicable cloud computing platform capable of supporting a new paradigm of data intensive, cloud-enabled predictive medicine.

1 Follower
 · 
97 Views
  • Source
    • "The third party is the knowledge agent who links together the knowledge user and the knowledge expert on demand. Great potential of cloud services in the area of biomedicine is identified by Grossman and White [7], who made a vision of biomedical cloud in the future. Since amount of data which hospitals and medical institutions are dealing with is growing rapidly, big data technologies will have indispensable role in data analysis. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Rapid growth and storage of biomedical data enabled many opportunities for predictive modeling and improvement of healthcare processes. On the other side analysis of such large amounts of data is a difficult and computationally intensive task for most existing data mining algorithms. This problem is addressed by proposing a cloud based system that integrates metalearning framework for ranking and selection of best predictive algorithms for data at hand and open source big data technologies for analysis of biomedical data.
    The Scientific World Journal 04/2014; Volume 2014 (2014)(Article ID 859279):10 pages. DOI:10.1155/2014/859279 · 1.73 Impact Factor
  • Source
    • "One example of cloud computing implementation in healthcare is "Biomedical Cloud" in form of community cloud. It could be filled with data relevant to biology, medicine and health care that would be accessible to individuals via any electronic digital personal devices [26]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Healthcare sector is information critical industry that deals with human lives. Transforming from traditional paper-based to Electronic Health Records (EHRs) was not efficient enough since EHRs require resources, integration, maintenance and high cost implementation. Cloud computing paradigm offers flexible, cost effective, collaborative, multi-tenant infrastructure which assists in transforming electronic healthcare to smart healthcare that consists on the use of latest technologies such as smart mobiles, smart cards, robots, sensors and Tele-health systems via internet on pay-per-use basis for best medical practices. Cloud computing reduces the cost of EHRs in terms of ownership and IT maintenance, also it offers sharing, integration and management of EHRs as well as tracking patients and diseases more efficiently and effectively. This review paper represents the significance and opportunities for implementing cloud computing in healthcare sector.
    IEEE Intemational Conference on Cloud Computing, Technologies, Applications & Management, UAE; 12/2012
  • Source
    • "One example of cloud computing implementation in healthcare is " Biomedical Cloud " in form of community cloud. It could be filled with data relevant to biology, medicine and health care that would be accessible to individuals via any electronic digital personal devices [26]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Healthcare sector is information critical industry that deals with human lives. Transforming from traditional paper-based to Electronic Health Records (EHRs) was not efficient enough since EHRs require resources, integration, maintenance and high cost implementation. Cloud computing paradigm offers flexible, cost effective, collaborative, multi-tenant infrastructure which assists in transforming electronic healthcare to smart healthcare that consists on the use of latest technologies such as smart mobiles, smart cards, robots, sensors and Tele-health systems via internet on pay-per-use basis for best medical practices. Cloud computing reduces the cost of EHRs in terms of ownership and IT maintenance, also it offers sharing, integration and management of EHRs as well as tracking patients and diseases more efficiently and effectively. This review paper represents the significance and opportunities for implementing cloud computing in healthcare sector.
    Cloud Computing Technologies, Applications and Management (ICCCTAM), 2012 International Conference on; 01/2012
Show more

Preview

Download
2 Downloads