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10.06.2019 by lbiad

MIC Festival 2019

The MIC Festival of the Medical Imaging Cluster (MIC) of the Medical University of Vienna took place last week on June, 6th 2019. This year’s motto was Digital Revolution in Medical Imaging, highlighting the ever growing importance of big data, digitalization and computational analysis and their translation to clinical routine and research.

Just as last year, our LBI:AD was represented in the festival on multiple occasions:

Gerda Egger, head of our LBI’s program line Molecular Pathology, held a lecture during Session I on Biomarker discovery approaches through big data for molecular imaging, giving insight into the ongoing research of our institute.

Our LBI’s director Markus Mitterhauser was invited to chair Session II (Clinical Decisions and Visions for Support Systems) together with Thomas Helbich of the University’s Division of Nuclear Medicine.

During the following Rapid Fire Presentations, six contestants that had been pre-selected because of outstanding submitted posters, had the chance to present their work within three minutes in front of a large audience. Marie Brandt, Post Doc of our LBI’s program line Imaging Biomarkers, was one of the six presenters. For her short introduction on her project on DFO* and oxoDFO*: Optimized new Chelators for Zirconium-89 ImmunoPET, she was awarded the bronze award of the MIC FESTIVAL 2019. Congratulations, Marie, on this achievement!

Out of the 88 submitted posters for the poster walk, our LBI was represented by a second poster, this one by Carolina Giammei. She is one of the PhD students from the Imaging Biomarkers program line and  presented some of her work in the poster entitled Glycosylated [99mTc]Tc-Labeled Bombesin Conjugate for Improved Pharmacokinetics in Tumor Diagnosis.

For more information on the MIC Festival, click ⇒ here.

All pictures © Medizinische Universität Wien

a. MIC Festial – Digital Revolution in Medical Imaging
b. Marie Brandt, Wolfgang Birkfellner
c. Gerda Egger
d. Thomas Helbich, Markus Mitterhauser