Artificial selection

Median Technologies Launches Imaging Lab, Spearheading Integration of iBiopsy® Artificial Intelligence Technologies into iCRO ​​Imaging Services for Oncology Trials


Median Technologies (Paris:ALMDT) announces that the company is expanding its portfolio of services with Imaging Lab, a new entity whose mission is to leverage AI, data mining and radiomics technologies to exploit imaging data from clinical trials in oncology.

The creation of Imaging Lab materializes the convergence of the activities of iCRO ​​for the management of images in the development of new oncology drugs and the activities of iBiopsy® for the development of software as medical devices targeting the early diagnosis of cancers , especially lung cancer.

“We are witnessing a paradigm shift from pharmaceutical companies towards new drug candidates targeting patients with early-stage cancers”, said Fredrik Brag, CEO and Founder of Median Technologies. “The synergy between our iCRO ​​​​and iBiopsy® activities is perfect to respond to this change: iBiopsy® develops software as a medical device, integrating AI technologies, which allow the diagnosis of diseases at a very early stage, when patients are still asymptomatic. At the same time, iCRO ​​has extensive knowledge of image processing and its management in clinical trials. The cross-fertilization of our two businesses will enable us to leverage imaging data in conjunction with other clinical information in an unparalleled way and provide biopharmaceutical companies with tools for Go/No-Go decisions in trials.” , adds Fredrik Brag.

Imaging Lab will provide new answers in four areas that determine the success of clinical trials: the selection of patients included in the trials, in particular the inclusion of patients diagnosed at early stages of the disease thanks to AI technologies, the prediction of response to treatment, measurement of disease progression, and safety assessment of drug candidates. The objective is to optimize development plans, in particular by facilitating Go/No-Go decisions to increase the success rate of clinical trials. This rate is particularly low in oncology, generating an average development cost of $2.8 billion to bring a new molecule to market, compared to an average of $1 billion per new molecule brought to market for other therapeutic areas. .1.

Our experience with image management in clinical trials has shown that trial data is vastly underutilized. We can extract much more information from images through the large-scale use of data mining, AI and radiomics and use these technologies to better support our customers and biopharmaceutical partners in their clinical studies. developments“, says Nicolas Dano, COO iCRO ​​​​of Median Technologies.

The Imaging Lab team will be present June 4-6 (show dates) at the ASCO Annual Conference in Chicago, Median Booth #2098, Exhibit Hall A, to meet with the pharmaceutical community.

About Median Technologies: Median Technologies provides innovative imaging solutions and services to advance healthcare for all. We harness the power of medical images using the most advanced artificial intelligence technologies, to increase the accuracy of the diagnosis and treatment of many cancers and other metabolic diseases in their early stages and provide information on new therapies for patients. . Our iCRO ​​solutions for the analysis and management of medical images in oncology trials and iBiopsy®, our software powered by AI as a medical device, help biopharmaceutical companies and clinicians bring new treatments and diagnose patients earlier and more accurately. This is how we help create a healthier world.

Founded in 2002, based in Sophia-Antipolis, France, with a subsidiary in the United States and another in Shanghai, Median has been awarded the “Innovative Company” label by the BPI and is listed on the Euronext Growth market (Paris). FR0011049824 – Mnemo: ALMDT. Median is eligible for the PEA-PME, is part of the Enternext® PEA-PME 150 index and has obtained the Euronext European Rising Tech label. For more information: