Recent

A Social Update from the Krauthammer Lab

The past few months at the lab have been very busy, but we still found some time for social events. We continued our now annual tradition of entering a team into the SOLA Stafette event at the start of May, and then followed it up by having a few entries at the Forchlauf at the start of June, followed by the SOLA Duo at the end of June. A few of our members who took part in the Stafette event Cécile and Mark taking part in the SOLA Duo In the middle of April we had a joined ‘welcome and goodbye’ dinner for master students who were either leaving or joining the lab.

KrauthammerLab is taking part at the SOLA-Stafette 2023

The SOLA-Stafette is a bit of an ‘institution’ in Zürich, and again this year the KrauthammerLab is taking part! We are running the 114.7 kilometres (2’747 m in altitude) in aid of Cancer Research at the Comprehensive Cancer Center Zurich, and we would welcome all donations through the below link. Please support our efforts with an amount big or small: https://engage.uzhfoundation.ch/Claudia-Stenger/sola2023 The Stafette is made up of 14 legs of different lengths, divided up among our 14 team members.

Lab Ski Trip

2 days in Davos

AI to support the early diagnosis of Systemic Sclerosis (SSc)

We recently published a joint work with the Department of Rheumatology, University Hospital of Zurich, the Department of Quantitative Biomedicine, and the Department of Rheumatology and Immunology, University Hospital Bern. The study assessed the capacity of AI to detect patterns of microangiopathy in nailfold capillaroscopy (NFC) images of patients with Systemic Sclerosis (SSc). We used local registers from the University Hospital Zurich and ‘off-the-shelf’ artificial intelligence models (ViT). In their editorial Maurizio Cutolo, Emanuele Gotelli and Vanessa Smith conclude, “the ViT is welcome and seems to represent a further valid system for an early and fast reading of the NFC images/morphological biomarkers in SSc, reaching for the first time the fusion of EULAR-validated algorithms for the delineation of the scleroderma pattern from the non-scleroderma pattern and artificial intelligence.