MEDIAN Technologies (Paris:ALMDT), a leading medical imaging software
developer and service provider for oncology clinical trials, announced
today its participation in the 2012 ASCO annual conference, to be held
next June 1-5, in Chicago, IL, USA.
During ASCO, the world's premier oncology conference,
representatives from MEDIAN will be available to discuss their abstract, 'Reliability
of Imaging Biomarkers for Response Assessment in Advanced Lung Cancer:
Influence of Expertise and Automation.' MEDIAN's scientific and
business development teams will be present at booth 22089 to give
demonstrations of their Lesion Management Solutions (LMS) software.
ASCO's annual meeting will be the occasion for MEDIAN
Technologies to officially announce the operational launch of their
alliance with Quintiles, the world's leading biopharmaceutical services
organization, to the biopharmaceutical industry and the clinical
investigator community.
The Oncology focused alliance agreement between MEDIAN Technologies and Quintiles
is designed to provide biopharma customers and clinical investigators
with better quality data, increased productivity, faster go/no-go
decisions, and, ultimately, more robust regulatory submissions.
"For the past three months we have been creating a highly efficient,
integrated operational alliance to deliver what we believe is a truly
differentiated medical imaging service to the biopharma industry," said
Fredrik Brag, MEDIAN's Chief Executive Officer. "Working with Quintiles
broadens the scope of clinical trials using our imaging technology to
the global level, resulting in better outcomes for today's patients."
Today, the ability to gather, share, interpret and sort through medical
image data is at the very heart of how cancer therapies and potential
cures are being developed and evaluated. But the inherent complexity of
managing imaging-based trials across multiple sites introduces many
complex challenges, some of which threaten the value of imaging. MEDIAN
has set out to change the paradigm for imaging in oncology trials by
applying new technology-based solutions to frequently-observed issues
related to image interpretation and management: most notably, high rates
of variability in data interpretation and a rising complexity in imaging
workflows.