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11 July 2019, Sophia Antipolis, France

Median Technologies Announces Preliminary H1 2019 Unaudited Financial Results

H1 2019 results validate the company’s 2018 strategic refocus. During the period, revenues increased by 19,6% to reach €4 million (€3.4 million in H1 2018). Net new booking reached €11 million and order backlog increased by 30% to €30.7 million (€23.7 million as of December 31, 2018). Cash and cash equivalents expected to be approximatively €7.9 million as of June 30, 2019, with significantly reduced burn rate.

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September 27 - October 1, 2019 | Barcelona, Spain

ESMO 2019

Median will be exhibiting at the ESMO Congress 2019, which will take place from September 27 to Octiber 1st in Barcelona, Spain. Stop by our booth #100 to learn more about our breakthrough imaging solutions and services for oncology clinical trials and our Imaging Phenomics platform iBiopsy®. Happy to see you there during the whole exhibition duration, from September 27 to September 30.

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In the press

iBiopsy® for Precision Medicine

Check out our paper published in the European Medical Journal on December 13, 2018 in order to educate the oncology specialists across Europe and the US as to the high-throughput artificial intelligence powered image-base phenotyping platform, iBiopsy® ->


A high-throughput artificial intelligence-powered image-based phenotyping platform, iBiopsy® (Median Technologies, Valbonne, France), which aims to improve precision medicine, is discussed in the presented review. The article introduces novel concepts, including high-throughput, fully automated imaging biomarker extraction; unsupervised predictive learning; large-scale content-based image-based similarity search; the use of large-scale clinical data registries; and cloud-based big data analytics to the problems of disease subtyping and treatment planning. Unlike electronic health record-based approaches, which lack the detailed radiological, pathological, genomic, and molecular data necessary for accurate prediction, iBiopsy® generates unique signatures as fingerprints of disease and tumor subtypes from target images. These signatures are then merged with any additional omics data and matched against a large-scale reference registry of deeply phenotyped patients. Initial applications targeted include hepatocellular carcinoma and other chronic liver diseases, such as nonalcoholic steatohepatitis. This new disruptive technology is expected to lead to the identification of appropriate therapies targeting specific molecular pathways involved in the detected phenotypes to bring personalised treatment to patients, taking into account individual biological variability, which is the principal aim of precision medicine.

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