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2 Releases in September and a Major Version upcoming in December !

Medexprim Suite™ is now bigger and better than ever before, with the simultaneous release of Radiomics Enabler® Version 1.4 and 1.5.
Under the hood, these two versions have exactly the same functionality.
Aditionally, v.1.5 updates Medexprim Suite™ to run on Docker, which makes installation and upgrade much easier. This new version can run on any operating system that supports Docker, including Windows 10.

Both versions include several important new features that our customers asked for:

  • an Audit Trail to record user logins and access to data.
  • an integrated Dicom Viewer to help validate correct de-identification of extracted Dicom images and Dicom SR files, prior to releasing data to a research project.
  • a significantly improved workflow making it possible to investigate and fix extraction errors, without viewing patient data and view the progress of a batch through the various processing stages. In particular, this allows Medexprim to effectively extend its support to client’s projects, in full respect of the regulations.
  • a clearer display of batch processing status, to show when a batch has completed de-identification and whether any files have been quarantined.
  • an extended API so that all batch related search, selection and extraction functions can be launched by external applications.

Version 2.0 is scheduled. It will feature an updated GUI and improvements to pipeline management. It will also be integrated with our new Indexa™ product, indexing the entire local PACS & RIS data in real time, aimed at accelerating searches & queries. More information here

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Medexprim and Radiomics Enabler® featured in DSIH

Karine Seymour, Medexprim’s founder was interviewed by DSIH Magazine. You can find the full content of the interview (in French) on DSIH’s web site.

If you would like to know more about Radiomics Enabler®, contact us. We will show you how you can eliminate cumbersome manual processes in Radiomics projects and enable your researchers to be at the forefront of the fast evolving imaging biomarker discovery area.

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White paper: Scientific and economic valorisation of biomedical images archives (PACS) in medical research

Authors: Andrea Vaglienti & Karine Seymour

Existing biomedical imaging data are a fuel for the development of image related applications. In this paper we study 4 fields: in-silico clinical trials, imaging biomarkers, radiomics and imaging cognitive tools, which all constitute a major scientific point of interest and have great market expectations. Be prepared to value your existing imaging data, both scientifically and economically!

There is a change of paradigm in the medical R&D process. Up to recently, randomized controlled trials were the gold standard, took years and data were discarded after the trial, especially if the trial failed. We now know that analysing all clinical trial data and using real-world evidence

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Pistoia President's challenge winner

Pistoia Alliance : Medexprim wins the Grand Prize

Medexprim wins the Grand Prize in the 2016 Pistoia Alliance President’s Startup Challenge, whose final was held in Boston.

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e-health Reverse challenge

Medexprim wins the e-health reverse challenge

Medexprim wins the e-health Reverse Challenge organized in Toulouse by M-Capital. More information on Objectif News.

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Medexprim wins the e-health trophee in the big data category

Medexprim won the e-health trophee in the big data category, which was organized by the e-health University in Castres. You can find the broadcast of the presentation here, the award ceremony here, and an interview of Karine Seymour here.

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MEDEXPRIM and the Toulouse University Hospitals: partners in accelerating medical imaging research

The French startup MEDEXPRIM and the Toulouse University Hospitals in Toulouse have agreed to collaborate in the development, deployment and promotion of the software solution Radiomics Enabler®, which enables easy use of medical imaging archives for research. 

Medexprim and the University Hospitals in Toulouse (Southwest France) have established a partnership to fine-tune the Radiomics Enabler® software suite.  This solution is able to make multi-criteria queries on a medical imaging archive, called a PACS (Picture Archiving and Communication System), extract relevant image series for researchers and route them towards quantification software.

By linking the resulting quantified data with other medical information (e.g. reports, lab results, genomics etc.) it will be possible to better understand the developing mechanisms of pathologies, find new predictive models of treatment efficiency, and enable the realization of new types of epidemiology and pharmacovigilance studies.

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