Corporate Banner
Satellite Banner
Informatics
Scientific Community
 
Become a Member | Sign in
Home>News>This Article
  News
Return

BioClinica and Rutgers University Announce Research Project Results

Published: Saturday, November 23, 2013
Last Updated: Friday, November 22, 2013
Bookmark and Share
Scientific Partnership Aims to Expand Automation of Clinical Trial Image Data Analysis

Under the research project entitled 'Quantitative Tissue Assessment', scientific experts from BioClinica and Rutgers University worked together to define, direct and develop important quantitative tools for the clinical assessment of new therapies for muscle, liver and spleen diseases. These tools enable the extraction of quantitative data from medical images with increased automation and precision. The quantification of muscle tissue is becoming an increasingly important measurement in aging populations for assessing sarcopenia and other musculoskeletal diseases. Additionally, tools for the evaluation of liver and spleen are needed for clinical trials for non-alcoholic steato-hepatitis (NASH) and for a number of orphan diseases.

"These types of advances are the first steps in the application of big data that are being brought to bear on the diagnosis and development of new drugs in areas of unmet medical need" said Colin Miller PhD, Senior Vice President of Medical Affairs at BioClinica. The methods developed here will be put into production to facilitate the analysis of large imaging datasets that arise from ongoing global, multi-site clinical trials. "The Quantitative Tissue Assessment project underscores BioClinica's commitment to innovation in medical imaging" added David S. Herron, Executive Vice President at BioClinica and President of the company's Imaging Core Lab Division. "We are excited to partner with the CDDA on these strategic projects which have the potential to revolutionize big data computing for medical imaging".

On the heels of the success of the 'Quantitative Tissue Assessment' project, BioClinica and the CDDA have additional projects in the works, including the development of scalable algorithms for automated image analysis for additional therapeutic areas and unmet medical needs.


Further Information

Join For Free

Access to this exclusive content is for Technology Networks Premium members only.

Join Technology Networks Premium for free access to:

  • Exclusive articles
  • Presentations from international conferences
  • Over 3,100+ scientific posters on ePosters
  • More than 4,500+ scientific videos on LabTube
  • 35 community eNewsletters


Sign In



Forgotten your details? Click Here
If you are not a member you can join here

*Please note: By logging into TechnologyNetworks.com you agree to accept the use of cookies. To find out more about the cookies we use and how to delete them, see our privacy policy.


Scientific News
Gene Expression Controls Revealed
Researchers have modelled every atom in a key part of the process for switching on genes, revealing a whole new area for potential drug targets.
Making Genetic Data Easier to Search
Scripps team streamlines biomedical research by making genetic data easier to search.
Monovar Drills Down Into Cancer Genome
Rice, MD Anderson develop program to ID mutations in single cancer cells.
It’s Now Easier To Go With The Flow
Rice University tool simplifies comparison of flow cytometry data for laboratories.
Making Precision Medicine a Reality
Researchers are one step closer to understanding the genetic and biological basis of diseases like cancer, diabetes, Alzheimer’s and rheumatoid arthritis – and identifying new drug targets and therapies.
New Database for Sharing MS Clinical Trial Data
A new database containing nearly 2500 patient records from the placebo arms of nine multiple sclerosis (MS) clinical trials is now available for research by qualified investigators.
‘Precision Prevention’ for Colorectal Cancer
New risk prediction model — not yet ready for clinical use — incorporates genetic, lifestyle and environmental risk factors.
Characterizing Cancerous Genomic Variations
Tested on large tumor genomics database, REVEALER method allows researchers to connect genomics to cell function.
Uncovering Hidden Genomic Alterations that Drive Cancers
Tested on large tumor genomics database, REVEALER method allows researchers to connect genomics to cell function.
Spotting DNA Repair Genes Gone Awry
Ludwig researchers develop a two-pronged approach for identifying genes responsible for fixing DNA damage that can trigger cancer when compromised.
Scroll Up
Scroll Down
SELECTBIO

SELECTBIO Market Reports
Go to LabTube
Go to eposters
 
Access to the latest scientific news
Exclusive articles
Upload and share your posters on ePosters
Latest presentations and webinars
View a library of 1,800+ scientific and medical posters
3,100+ scientific and medical posters
A library of 2,500+ scientific videos on LabTube
4,500+ scientific videos
Close
Premium CrownJOIN TECHNOLOGY NETWORKS PREMIUM FOR FREE!