skip to main content
research-article
Free Access

Combating cancer with data

Published:24 April 2017Publication History
Skip Abstract Section

Abstract

Supercomputers will sift massive amounts of data in search of therapies that work.

References

  1. Davis, J. Can Big Data Help Cure Cancer? InformationWeek, July 17, 2016. http://www.informationweek.com/big-data/big-data-analytics/can-big-data-help-cure-cancer-/d/d-id/1326295Google ScholarGoogle Scholar
  2. Agus, D.B. Giving Up Your Data to Cure Disease, The New York Times, Feb. 6, 2016. https://www.nytimes.com/2016/02/07/opinion/sunday/give-up-your-data-to-cure-disease.html?_r=0Google ScholarGoogle Scholar
  3. Panda, B. Big Data and Cancer Research. Springer, Oct. 13, 2016. http://link.springer.com/chapter/10.1007%2F978-81-322-3628-3_14Google ScholarGoogle ScholarCross RefCross Ref
  4. Cho, W.C. Big Data for Cancer Research, Clinical Medicine Insights: Oncology. v.9; 2015 PMC4697768. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4697768/Google ScholarGoogle Scholar
  5. Reed, D.A., and Dongarra, J. Exascale Computing and Big Data, Communications of the ACM, Volume 58, Issue 7, July 2015, pp. 56-68. http://dl.acm.org/citation.cfm?id=2699414 Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Combating cancer with data

                Recommendations

                Reviews

                Michael Lesk

                This short note describes how data and computing could help find cancer cures. It discusses three projects supported by the National Cancer Institute (NCI) and the Department of Energy (DOE); each uses machine learning to predict which tumors will respond to which drugs. The pilot projects described include one at Oak Ridge National Laboratory, which is mining 40 years of patient records; another at Argonne National Laboratory, which is building models to predict the reactions of new tumors to drugs; and the last at Lawrence Livermore National Laboratory, studying one critical cancer gene and its mutations. The article explains that research is combining better sensor technology with larger data records of patient experiences, and exascale computing. The author hopes that good predictive models can catch up to rapidly mutating tumor cells and predict which drugs to use. This is not a research paper; it is an introduction, but has a few references for those who wish to learn about the efforts being made. Online Computing Reviews Service

                Access critical reviews of Computing literature here

                Become a reviewer for Computing Reviews.

                Comments

                Login options

                Check if you have access through your login credentials or your institution to get full access on this article.

                Sign in

                Full Access

                • Published in

                  cover image Communications of the ACM
                  Communications of the ACM  Volume 60, Issue 5
                  May 2017
                  101 pages
                  ISSN:0001-0782
                  EISSN:1557-7317
                  DOI:10.1145/3084186
                  • Editor:
                  • Moshe Y. Vardi
                  Issue’s Table of Contents

                  Copyright © 2017 ACM

                  Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

                  Publisher

                  Association for Computing Machinery

                  New York, NY, United States

                  Publication History

                  • Published: 24 April 2017

                  Permissions

                  Request permissions about this article.

                  Request Permissions

                  Check for updates

                  Qualifiers

                  • research-article
                  • Popular
                  • Pre-selected

                PDF Format

                View or Download as a PDF file.

                PDF

                eReader

                View online with eReader.

                eReader

                HTML Format

                View this article in HTML Format .

                View HTML Format