All Posts Tagged: deep learning

Cross4health-medexprim

Medexprim wins 3rd prize at Cross4Health idea contest

Cross4Health is an EU program that aims at leverageing technologies developed in the Aerospace and Energy industry for healthcare innovative solution. Medexprim won the third prize of the idea contest which was organized in Toulouse on Feb. 15 & 16, 2018. They took up a challenge proposed by a faxillo-facial surgeon and came up with the idea of building a new decision-aid and plannification software tool for faxillo-facial reconstruction. This tool will be built thanks to the retrospective analysis of many pre-operative and post-operative CT scans of patients, and the know-how of Inria in mathematical modeling and predictive analysis.

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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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