Erasmus MC and Philips Speed Up Research with Digital Analysis of Tumors

Royal Philips ElectronicsErasmus MC is the first hospital in the Netherlands to switch to digital for their experimental laboratory analysis of cell and tissue samples using a digital pathology system from Philips. This switch to digital is an important step in tumor research and ultimately aims to speed up and improve the diagnosis and treatment of cancer and other diseases. Erasmus MC is working with Philips, which has developed a completely new, very fast technology for scanning, image processing and analysis that makes it possible to obtain digital images of suspect tissue at very high resolution. This enables medical researchers to view the images efficiently from any given workplace and to gain new insight into diseases such as cancer.

If cancer is suspected in a patient, tissue is removed surgically or by means of a biopsy. The tissue is then examined by a pathologist at microscopic level and sometimes also tested at molecular level. This makes it possible to ascertain whether or not the tissue is cancerous and, if so, to what extent the cancer is malignant. This process also plays a very important role in the analysis of large numbers of test samples for experimental cancer research in order to gain a better understanding of the causes and mechanisms of diseases at cellular and molecular level. These new insights may enable new diagnostic approaches and therapeutic treatments.

The analysis of small tissue samples can create quite a problem in medical investigations. A great deal of time and effort is spent sending, recording and processing the hundreds of microscope slides of tissue samples. Consultation with a colleague at another location can be a lengthy process, as the tissue slide first has to be sent over by courier, with the added risk of damage or loss.

Digital
By scanning the tissue slide using the very fast Philips digital pathology system, the examining pathologist can gain direct access to the digital files and the work can be distributed more effectively among the available researchers. Cancer cells in the tissue can be identified and analyzed quickly using advanced image analysis software. It also becomes easy to share information and images with cancer research institutes all over the world.

"In recent years the demand for cell and tissue examination has risen enormously with more complex cases," says Peter Riegman PhD, Head of the Erasmus MC Tissue Bank. "The changeover in the future to digital pathology will help our team of pathologists, biomedical researchers, technical specialists as well as the management team to ensure we maintain our high standard and further speed up experimental medical research."

"For over a hundred years now pathologists have used an optical microscope to examine the stained tissue on a microscope slide," says Perry van Rijsingen, General Manager of Philips Digital Pathology. "By integrating digital pathology in the existing information system at the research laboratory, Erasmus MC now has at its disposal a digital platform that offers new opportunities for intensive cooperation in education and research with other disciplines such as radiology."

The Philips system for digital pathology consists of an ultra-fast scanner and image management system with software for viewing, analyzing and interpreting the images. At Erasmus MC the changeover from analog to digital will be made first in experimental research and pathology education, and this may well be followed by digital diagnostics in the coming years.

Related news articles:

About Erasmus MC
Erasmus MC is the largest and most authoritative scientific University Medical Center in the Netherlands. Almost 13,000 staff members work within the core tasks of patient care, education, and scientific research on the continuous improvement and enforcement of individual patient care and social healthcare. They develop high-level knowledge, pass this on to future professionals, and apply it in everyday patient care. Over the next five years, Erasmus MC wants to grow into one of the best medical institutes in the world. Erasmus MC is part of the Dutch Federation of University Medical Centers (NFU).

About Royal Philips Electronics
Royal Philips Electronics (NYSE: PHG, AEX: PHI) 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 2011 sales of EUR 22.6 billion and employs approximately 122,000 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, portable entertainment and oral healthcare.

Most Popular Now

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

AI-Based App can Help Physicians Find Sk…

A mobile app that uses artificial intelligence, AI, to analyse images of suspected skin lesions can diagnose melanoma with very high precision. This is shown in a study led from...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...