The preclinical data for a vaccine developed at MedUni Vienna to protect against SARS-CoV-2 indicates that it is effective against all SARS-CoV-2 variants known to date, including omicron - even in those who have not yet built up any immunity as a result of vaccination (non-responders). The data from the study were recently published in the leading journal "Allergy".
Schmalz S, Mayr V, Shosherova A, Gepp B, Ackerbauer D, Sturm G, Bohle B, Breiteneder H, Radauer C. Isotype-specific binding patterns of serum antibodies to multiple conformational epitopes of Bet v 1.
Gattinger P, Niespodziana K, Stiasny K, Sahanic S, Tulaeva I, Borochova K, Dorofeeva Y, Schlederer T, Sonnweber T, Hofer G, Kiss R, Kratzer B, Trapin D, Tauber PA, Rottal A, Körmöczi U, Feichter M, Weber M, Focke-Tejkl M, Löffler-Ragg J, Mühl B, Kropfmüller A, Keller W, Stolz F, Henning R, Tancevski I, Puchhammer-Stöckl E, Pickl WF, Valenta R.
Allergy. 2021 Aug 28. doi: 10.1111/all.15066. Online ahead of print.
Martin Schepelmann, Nadja Kupper, Marta Sladczyk, Bethan Mansfield, Teresa Manhardt, Karina Piatek, Luca Iamartino, Daniela Riccardi, Benson M. Kariuki, Marcella Bassetto, and Enikö Kallay
Stereo-Specific Modulation of the Extracellular Calcium-Sensing Receptor in Colon Cancer Cells
Int. J. Mol. Sci. 2021, 22(18), 10124; https://doi.org/10.3390/ijms221810124
Foot ulcer is a common complication of diabetes mellitus; it is associated with substantial morbidity and mortality and remains a major risk factor for lower leg amputation. Extracting accurate morphological features from the foot wounds is crucial for proper treatment. Computer-mediated approaches enable segmentation of the lesions and extraction of related morphological features. Deep learning-based methods and more specifically convolutional neural networks (CNN) have shown excellent performances for various image segmentation tasks including medical image segmentation. In this work, Amirreza Mahbod, Rupert Ecker and Isabella Ellinger proposed an ensemble approach based on two encoder-decoder-based CNN models, namely LinkNet and UNet, to perform foot ulcer segmentation. Our method achieved the first rank in the FUSeg challenge leaderboard.
Leaderboard link: https://uwm-bigdata.github.io/wound-segmentation/
Challenge link: https://fusc.grand-challenge.org/
Method description: https://arxiv.org/abs/2109.01408