Digital Innovator Award 2024
15. February 2024
We proudly announce that mediri has once again received the Digital Innovator 2024 award from CHIP in the category ”medical technology“.
In times of digitization, CHIP and data analysis specialist Globis Consulting have studied the innovative power of German companies and institutes in digitization. CHIP is known as one of the top recommended brands. See the full ranking here.
tcFUS-control – Many thanks to our partners
06. February 2024
Many thanks to our partners from Universitätsklinik Bonn, INSIGHTEC, and Fraunhofer MEVIS for a great collaboration in the concluded project tcFUScontrol funded by ZIM. We aimed at developing an Advanced Therapy Control System for transcranial MR-guided Focused Ultrasound for Essential and Parkinson’s Tremor.
The consortium made progress in using Arterial Spin Labeling (ASL) MR images to measure the permeability of the blood brain barrier (BBB). Apart from that, a software tool for easier therapy planning computing the location of nerve fibre tracks in the brain based on Diffusion Tensor Imaging was developed.
DeepRAY – last year started
23. January 2024
The countdown is on: The final year of our DeepRAY project has begun. Together with our partners at Universitätsmedizin Mannheim we are working to integrate our WHITEBOX into the clinical workflow of routine abdominal CT scans. We will screen the patients for aortic aneurysms and dissections with AI-based algorithms (what else?).
The WHITEBOX enables easy and secure DICOM image transfer between the PACS and external server clusters for fast image analyses and notification of clinical staff.
First milestones are achieved: the WHITEBOX is a PACS node of the research PACS and retrospective data analysis can be performed easily. Now we are aiming to install our system in the clinic PACS for prospective evaluations.
The project DeepRAY is funded by the German Ministry of Education and Research.
Merry Christmas & Happy New Year!
19. December 2023
mediri wishes you merry christmas and a happy new year.
RANO in mtrial
13. December 2023
Mediri is constantly evolving its image data management platform mTRIAL for secure and reliable central reads in clinical studies. Currently, mTRIAL is getting ready for RANO evaluation of low- and high-grade gliomas. Automatic interpolation of segmented volumes and easy annotation of measurements are on board. Stay posted.
A newspaper article about our work
21. November 2023
Recently, a newspaper article about our project with bosomshield got mentioned in the newspaper echo-online. If you want to know more about the importance of our work and how we want to improve the field of breast cancer, you can read the article down below.
International Day of Radiology 2023
08. November 2023
Today is International Day of Radiology to promote the seismic impact of radiology on medicine – earlier detection, fewer surgeries, and game-changing treatment outcomes. Analyzing radiological images in multi centric clinical studies can be challenging considering standardization and patient data privacy.
Mediri is constantly evolving its image data management platform mTRIAL for secure and reliable central reads in clinical studies. Currently, mTRIAL is getting ready for RANO 2.0 evaluation of low- and high-grade gliomas according to the recently published update by Wen et al. Stay posted.
We moved to our new office!
31. October 2023
New office. New Neighbours. New view.
It’s done! We have offically moved to Am Taubenfeld 21/1 in 69123 Heidelberg.
Breast Cancer Awareness Month
18. October 2023
These numbers again stress the importance of research in breast cancer detection and relapse prediction. We are proud to be part of the Marie-Sklodowska Curie network bosomshield.eu aiming at the combination of clinical, pathological and radiological data for better treatment and therapies. Still, early detection of breast cancer is one of the most important factors for successfull treatment, so be mindful and take care of yourself!
31. BVMA Symposium
10. October 2023
Klinische Forschung neu denken: Vom Patienten bis zur KI.