Seventh ARTORG Seminar organized by the AI in Health and Nutrition lab with Stergios Christodoulidis, Assistant Professor at CentraleSupélec.
06. September 2023
Eighth ARTORG Seminar 2023 with Christian Baumgartner, University of Tübingen, hosted by the AI in Medical Imaging lab.
08. November 2023
Last ARTORG Seminar 2023 with Nikolaos Stergiopulos, EPFL hosted by the Cardiovascular Engineering lab.
13. December 2023
Narayan Schütz has won this year's Senior Citizens' University of Bern Award for Research on Aging for his outstanding dissertation. The prize was awarded to him by the Rector of the University of Bern, Prof. Dr. Christian Leumann, and the President of the Stiftung Seniorenuniversität, Prof. Dr. Andreas Stuck. Now a postdoctoral fellow at Standford University, Narayan has been researching at the Gerontechnology and Rehabilitation research group at the ARTORG Center to what extent contactless sensors at home can create a comprehensive collection of digital readings on health in aging. Such approaches could be used to identify health risks in older persons living alone at an early stage and help them achieve significantly better health through personalized treatment approaches to typical health conditions associated with aging, while reducing healthcare costs. (Photo: Ramon Lehmann, Universität Bern)
23. December 2022
Today, 21 students from two GYM1 PAM classes of the Gymnasium Lerbermatt in Köniz with their physics teacher Manuel Ryser visited the Image Guided Therapy lab and its spin-off SurgeonsLab AG. The students received an introduction to the topic of neurosurgery simulators by postdoctoral researcher and SurgeonsLab founder Dr. Fredrick Johnson Joseph. The students found the presentations of aneurysm clippings very exciting and well explained. They especially appreciated being allowed to ask so many questions to the researchers. At the very end, a small apéro offered more opportunity for exchange. Thank you for taking part in our research!
23. December 2022
The Medical Image Analysis group at the ARTORG Center of the University of Bern in collaboration with colleagues at Inselspital, Bern, has released the first publicly available single-center dataset of Glioblastoma Magnetic Resonance Imaging (MRI) with expert ratings. It comprises over 600 multi-sequence MRI acquisitions and expert readings of selected studies according to the response assessment in neuro-oncology (RANO) criteria, automated tumor segmentations, and a rich set of complementary information, such as advanced imaging biomarkers, patient demographics and pathology information.
21. December 2022
The ARTORG Center congratulates Eric Buffle for successfully defending his PhD thesis on 14 December 2022! For his research on “Opening behaviour of normal and stenotic aortic valves in low-flow situations” Eric investigated different diagnostic approaches for aortic valve stenosis needing replacement through a clinical experiment, an in-vitro experiment and finally validation in a large and diverse patient collective. With his team he was able to create a nomogram to be used in the clinic to assess aortic stenosis severity of any valve size at any transvalvular flow rate with a sigmoid model.
15. December 2022
26 students of the third and forth Gymnasium year with a major in biology from the Gymnasium Neufeld visited the Organs-on-Chip laboratory on 8 December. The team around Pauline Zamprogno, Jan Schulte, Karin Rechberger und Tobias Weber received the students at Murtenstrasse 50 to introduce them to 3D complex chip printing and culturing human lung cells on a chip to facilitate drug research in a promising alternative to animal testing. The young women and men were able to fabricate their own chips and pipet a human cell line on them which could subsequently be observed under the microscope.
13. December 2022
Organs-on-Chip Technologies Seminar with Andries van der Meer.
09. December 2022
Cardiovascular Engineering External Seminar with Diego Rossinelli.
01. December 2022
The Medical Image Analysis lab at the ARTORG Center has just published a study where interpretability informed sample selection from a set of radiological images. The lab, which has focused on interpretability both as a means for more transparency in medical AI workings and as a tool to improve AI itself, reports that their novel sample selection approach based on graph analysis to identify informative samples in a multi-label setting improved model performance, learning rates, and robustness when compared to state-of-the-art Active Learning methods.
24. November 2022
A lot was to discover on yesterday's future day at the ARTORG Center: organs-on-chip, fluid mechanics for heart valves, biomechanics of bone (fractures), manufacturing of medtech components in the workshop. 32 schoolgirls from Bern were given the opportunity to try out these areas at our two sites on Murtenstrasse and sitem-insel. The girls showed great interest and in some cases drew parallels to other engineering disciplines such as aviation or the automotive industry.
11. November 2022