BEST, Netherlands and
CORRALES, N.M., Jan. 15, 2015 /PRNewswire/ -- Royal Philips
(NYSE: PHG, AEX: PHIA) today announced that it will further support
oncology researchers' efforts to analyze pathology samples by
offering advanced image analysis algorithms from Indica Labs, Inc.
as part of its Digital Pathology Solutions offerings. The
collaboration will allow pathology researchers to apply intelligent
algorithms to digitized pathology slides, which may enhance their
ability to detect, process and extract information from tissue
samples than currently possible using a conventional
microscope.
With more than 500,000 deaths expected in 2014, cancer is the
second most common cause of death in the U.S. As the current cancer
care process is often complex, inefficient and ineffective, there
is a growing need to empower pathologists with quantitative data to
inform personalized approaches and enable new cancer
treatments.
"Digital pathology is the stepping stone to unlock the huge
potential of data mining," says Perry van Rijsingen, General
Manager of Philips Digital Pathology Solutions. "More information
from tissue samples could bring new insights in cancer care that
support personal treatment, and ultimately will save patients'
lives."
Image analysis, when based on high-quality digital images, has
been shown to provide objective data sets for decision support. By
using the combined Philips Digital Pathology Solution and Indica's
HALO™ image analysis platform, researchers will benefit from a
streamlined image analysis workflow and improved productivity.
Additionally, they will be able to extract more thorough
information from tissue samples, enabling more insightful analysis
than possible today – all while generating those results in a
matter of hours or even minutes versus days.
"Digital pathology offers significant opportunity to arm
scientists in oncology and pathology with the quantitative
information they need in their research to improve the cancer care
process," said Indica CEO Steven
Hashagen. "By incorporating the high-quality innovation of
Philips' digital imaging and our precision HALO analysis platform,
they have the tools to further investigate the predictive response
of certain therapy with the ultimate goal to provide a personalized
cancer treatment plan."
Philips research customers now have access to a flexible
investigational toolset to develop new solutions, as well as a
suite of software features for evaluating such cases as HER2, ER PR
and Ki-67. Philips offers Indica's HALO™ as an option with its
Digital Pathology Solution for Research Use Only (RUO).
For further information, please contact:
Hans Driessen
Philips
Tel: +31 610610417
E-mail: hans.driessen@philips.com
About Royal
Philips:
Royal Philips
(NYSE: PHG, AEX: PHIA) is a diversified health and well-being
company, focused on improving people's lives through meaningful
innovation in the areas of Healthcare, Consumer Lifestyle and
Lighting. Headquartered in the
Netherlands, Philips posted 2013 sales of EUR 23.3 billion and employs approximately
115,000 employees with sales and services in more than 100
countries. The company is a leader in cardiac care, acute care and
home healthcare, energy efficient lighting solutions and new
lighting applications, as well as male shaving and grooming and
oral healthcare. News from Philips is located at
www.philips.com/newscenter.
About Indica Labs,
Inc.
Indica Labs provides
software for quantitative evaluation of pathology images. Indica's
HALO™ image analysis platform provides a unique combination of
precision, performance, scalability, and usability. Indica's broad
range of industry leading tissue-specific image analysis algorithms
can be used in a variety of truly integrated digital pathology
environments, allowing pharmaceutical, healthcare, and research
organizations worldwide to apply high-throughput image
quantification in areas such as neuroscience, metabolism, oncology,
toxicological pathology, and more. For more information,
please visit http://indicalab.com or contact info@indicalab.com
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SOURCE Royal Philips