Philips : and SURFsara team up to provide hospitals with ‘Big Data’ research services in the Cloud for precision medicine and population health management

• Collaboration combines Philips' expertise in health informatics and SURFsara's capabilities in high performance supercomputing infrastructures
• Via online portal combined cloud-based services will facilitate multicenter life sciences research and big data analytics to speed up the translation of academic research into healthcare innovation

Amsterdam, The Netherlands - Royal Philips (NYSE: PHG; AEX: PHIA) and SURFsara (a subsidiary of the SURF cooperation), the leading Dutch high-performance supercomputing and data infrastructure provider for education and academic research, today announced a new collaboration with the aim to connect the Philips HealthSuite cloud platform to the SURFsara National Research Infrastructure to provide new cloud-based research services.

The services will specifically support research into precision medicine and population health. An example are new targeted therapies for colon, prostate or breast cancer that require bringing together massive amounts of data from medical scanners, tissue biopsies, lab results and genomics over long periods of time to generate deep and comprehensive views on a patient's individual situation. Studies into population health need to combine extremely large health data sets of large groups of people. These are analyzed to find even the smallest correlations and patterns that could eventually lead to new approaches to enable early intervention and improve treatments

'Today, hospitals can already retrieve massive amounts data from multiple sources and various disciplines, and through research obtain new clinical insights,' said Jeroen Tas, CEO Connected Care and Health Informatics at Philips. 'But even greater value lies in combining, normalizing and analyzing the current islands of data. Our integrated services aim to combine data on all levels and connect health systems, clinical expertise and research programs in a secure and compliant manner. Through networked healthcare research we want to facilitate collaboration on the next generation of breakthroughs in care delivery.'

Via a user-friendly portal for online collaboration, data scientists and clinical researchers will have secure high-speed access to Big Data, supercomputing facilities, combined Philips and SURFsara analytics tools, machine learning technology and IT services. It aims to enable scientists and researchers to seamlessly move, share, combine and re-use extremely large sets of data available across academic medical institutions and research programs and analyze them in a compliant manner.

'SURFsara supports the national life science research with ICT experience and has a mission to connect business to research,' said Anwar Osseyran, SURFsara CEO and Professor of Business Analytics and Computer Science at the University of Amsterdam. 'We will collaborate with Philips to enhance the cloud-base services of Philips and use these resources to make life science data available for science in the Netherlands and beyond.'

The comprehensive new translational research environment envisaged initially aims to facilitate academic medical institutions and research programs, and will later expand to support healthcare centers of excellence and life sciences scholars to analyze the vast amounts of data generated by disciplines such as genomics, digital pathology and imaging. The Big Data research services will be open to collaborative research initiatives throughout Europe and beyond, reflecting the global nature of modern-day connected healthcare research in a compliant manner.

The volume of stored clinical data is growing at around 40% per year due to rapid advancements in diagnostic medical imaging and patient monitoring, chronic disease management as well as the growing adoption of medical-grade IoT devices (unobtrusive sensors) that enable enhanced patient self-measurement and opens a new dimension in high quality data collection. An even greater data explosion is predicted as access to and analysis of digital pathology and genomics data becomes more widely adopted.