Philips Teams up with Genomic Health to Utilize Innovative Digital Pathology Solutions

PhilipsRoyal Philips (NYSE: PHG, AEX: PHIA), a leader in the digitization of pathology, announced a collaboration with Genomic Health, Inc. (NASDAQ: GHDX), a world leading provider of genomic-based diagnostic tests, to leverage Philips' digital pathology tools in Genomic Health’s continuing scale up of its molecular diagnostic testing processes.

Pathology involves the examination of patient tissue samples and plays a crucial role in the diagnosis and treatment of a wide variety of diseases, including cancer. Philips is a pioneer and leader in the digitization of pathology. Pathologic evaluation of tumor tissue specimens is a critical step in the genomic testing process conducted by Genomic Health's Clinical Reference Laboratory. These genomic tests support physicians’ ability to deliver personalized treatment for patients diagnosed with complex disease such as cancer.

"Digitization has the potential to open new opportunities for increased efficiency and a reduction in the shortcomings of a traditional analog histopathology workflow," said Russell Granzow, General Manager of Philips Digital Pathology Solutions. "Philips is driving the evolution towards unified patient data to ensure pathologists are empowered to meet the increasing demand in cancer care for more precise diagnostics."

"By utilizing Philips’ latest digital pathology solution, we are providing our pathologists with a state-of-the-art system that will provide the next level of scalability and efficiency for our overall pre-analytical process, adding new capabilities that will be increasingly important as worldwide demand for Genomic Health's tests continues to grow," said Jon Cassel, Senior Vice President of Operations at Genomic Health.

Philips' lntelliSite Pathology Solution* is an automated digital pathology image creation, management and analysis system comprised of an ultra-fast pathology slide scanner, an image management system and case viewer. This solution is complemented by advanced software tools to manage the scanning, storage, presentation, research analysis and sharing of information.

* In the European Union, the Philips IntelliSite Pathology Solution is CE Marked under the European Union's 'In Vitro Diagnostics Directive' for in vitro diagnostic use.In Canada, the Philips IntelliSite Pathology Solution is licensed by Health Canada for in vitro diagnostic use. In the United States, the Philips IntelliSite Pathology Solution can be used for in vitro diagnostic use for Manual Read of the Digital HER2 Application and is available for research use only. The Philips IntelliSite Pathology Solution is registered for in vitro diagnostic use in Singapore and Middle East.

Related news articles:

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 2014 sales of EUR 21.4 billion and employs approximately 106,000 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.

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...