Philips, Illumina to offer genomics solutions
Jan. 16, 2017—Royal Philips and Illumina announced a strategic collaboration that aims to integrate Illumina’s sequencing systems for large-scale analysis of genetic variation and function and Philips’ IntelliSpace Genomics clinical informatics platform and to coordinate marketing and sales of the resulting solutions. Philips and Illumina will also seek to engage in clinical research collaborations with health systems in the U.S. that want to develop precision medicine programs in oncology.
The collaboration will provide new solutions aimed at the acquisition, analysis, annotation, and interpretation of genomics data in oncology cases. The data will be acquired by Illumina’s BaseSpace Sequence Hub connected to its instruments and will be processed through Philips’ IntelliSpace Genomics solution for oncology. This solution will combine data from multiple sources–radiology, immunohistochemistry, digital pathology, medical records, and lab tests–and deliver a consolidated dashboard view.
“The value of genomic information for personalized care, and for the treatment of patients with cancer in particular, is tremendous,” Jeroen Tas, CEO of Connected Care and Health Informatics at Philips, said in a statement. “Until now the ability to use genomic data with the aim of having a precise diagnosis of cancer and improve treatment was mostly for the domain of academic centers. Through this collaboration we will unlock the value of genomics for a much wider group of laboratories and care providers to help them advance genomics initiatives at greater speed with the aim to offer precision medicine with better outcomes for their patients.”
The two companies intend to collaborate on system integration, cohort analysis and health economics applications, and future research programs. Laboratories adopting the solution will be able to integrate sequencing data with information from multiple data sources such as imaging, pathology, and laboratory and will also give them access to advanced analytics, deep learning technologies, and available reference literature, guidelines, and evidence in a single view.