Indivumed Partners with Oslo University Hospital to Advance Cancer Research

Indivumed GmbH (“Indivumed”) today announced a joint research collaboration to expand IndivuType by adding digital pathology images and data using cutting-edge technology from the Institute for Cancer Genetics and Informatics (“ICGI”) at Oslo University Hospital, a world leader in the application of Deep Learning and AI in oncology.

By scanning high-resolution images of haematoxylin and eosin-stained tumor section slides for all IndivuType cases, Indivumed will be able to leverage an entirely new dimension of data in the coming months. The expansion of IndivuType’s digital pathology asset and analysis capacity will allow Indivumed and ICGI to combine the cancer phenotype, as defined by the tumor morphology, with the deep molecular multi-omics characterization of the tumor, resulting in better prognostic and diagnostic algorithms which will aid in the personalized treatment of cancer. Furthermore, the project will use the multi-omics data to unlock the black box of Deep Learning to create completely novel insights into tumor biology.

“We are constantly driven by our mission to unveil the complex mechanisms of cancer in order to advance precision oncology,” said Roald Forsberg, PhD, Indivumed Chief Business Officer and Head of the IndivuType Business Unit. “Our collaboration with the renowned ICGI team at Oslo University Hospital is truly unique in that it will result in the creation of the world’s first data asset to combine full multi-omics data with clinical and digital pathology data.”

Indivumed will work closely with the Institute for Cancer Genetics and Informatics (ICGI) at Oslo University Hospital to leverage artificial intelligence algorithms to deliver a fully automated method of prognosis for colorectal cancer. IndivuType will utilize the analytical data generated from the standardized global collection of thousands of high-quality patient samples to validate the prognosis method and identify multi-omic signatures that can explain the underlying biology behind the algorithm. The resulting discoveries will be used to explore new avenues of cancer treatment and prevention.

“The success of our program relies on a unique combination of academic and industrial competence using artificial intelligence and digital tools in pathology,” said Professor Håvard E. Danielsen, Director of the Institute for Cancer Genetics and Informatics (ICGI) at Oslo University Hospital. “Working with Indivumed and the tremendous amount of high-quality data contained within the IndivuType discovery solution will help us to better understand the underlying biology of colorectal cancer and more accurately identify potential biomarkers and therapeutic targets.”

Indivumed and the Institute for Cancer Genetics and Informatics at Oslo University Hospital expect to publish several papers detailing the outcomes of the collaboration and explore commercial opportunities based on the refinement of prognostic algorithms and the discovery of novel insights into the molecular drivers of cancer morphology and biology.

Medical Device News Magazinehttps://infomeddnews.com
Medical Device News Magazine provides our readership with breaking medical device / biotechnology news. Our subscribers include medical specialists, device industry executives, investors, and other allied health professionals, as well as patients who are interested in researching various medical devices. We hope you find value in our easy-to-read publication and its overall objectives! Medical Device News Magazine is a division of PTM Healthcare Marketing, Inc. Pauline T. Mayer is the managing editor.

More News!

The AGENT DCB is available in Europe, parts of Asia Pacific and Latin America for the treatment of patients with ISR and previously untreated small vessel coronary disease. Boston Scientific plans to launch the technology in the U.S. in the coming months.
Tabrecta is the first FDA-approved therapy to treat non small cell lung cancer with specific mutations (those that lead to mesenchymal-epithelial transition or MET exon 14 skipping).
The Cor® TRICUSPID ECM® valve has been successfully implanted in the 11th patient enrolled in the expansion by Dr. Marc Gerdisch, Chief of Cardiothoracic Surgery at Franciscan Health Heart Center in Indianapolis, Indiana & principal investigator for the adult component of the study.
Thirona notes LungQ 3.0.0 builds on 10 years of clinical trials and 200+ publications to deliver advanced segmentation of pulmonary segments and subsegments.
The Zeta Surgical Cranial Navigation System is a mixed-reality navigation system for neurosurgery, providing surgeons with "GPS-like" guidance with millimetric accuracy in real-time. Zeta's computer vision engine ensures maintained accuracy by automatically registering multiple times a second, accounting for patient movement, and allowing for awake and non-immobilized use in both operative and extra-operative settings.

By using this website you agree to accept Medical Device News Magazine Privacy Policy