Research at OnkPat
The Department of Oncology-Pathology conducts basic, translational, clinical research and teaching activities related to cancer. We aim to discover fundamental mechanisms in all aspects of cancer biology, find novel biomarkers and potent anti-cancer drugs for personalized cancer medicine. We maintain state-of art equipment for our scientists to share for a more sustainable and efficient work. To support our research, contact our Head of Administration Ulrika.Almquist@ki.se
Photo: Stefan Zimmerman
Grant from the Sjöberg Foundation to Hildur Helgadottir
Hildur Helgadottir receives project funding from the Sjöberg Foundation of totally 21 million SEK divided over three years. The funding supports the project “NEO-TIL: A Multicenter Clinical Initiative Conducted by the Swedish Melanoma Study Group”. Co-applicants are Stina Wickström, also at OnkPat, and Göran Jönsson and Ana Carneiro at Lund University and Lars Ny, Roger Olofsson Bagge and Jonas Nilsson at University of Gothenburg.
Photo: Ulf Sirborn
Jonas Bergh receives the Grand Silver Medal 2024
Professor Jonas Bergh receives the Grand Silver Medal for his world-leading and unique contributions to cancer research at Karolinska Institutet. The medal has been presented since 2010 to individuals who have made tremendous efforts to support the activities of KI and is recognized during the installation ceremony at Aula Medica on October 3.
Photo: N/A
Grant for postdoctoral qualification in medical science
Elisabet Rodriguez Tomas has been granted the Postdoctoral Grant from the Swedish Society for Medical Research (SSMF) for her project "New fibroblast-related biomarkers and drug targets for tamoxifen resistance in ER+ breast cancer". The grant is for three years and is intended to be used for salary for the recipient.
New systematic review and meta-analysis about human-AI interaction in skin cancer diagnosis
Isabelle Krakowski and Hanna Eriksson with colleagues from Stanford University have published an article in npj Digital Medicine about the effect of AI assistance in skin cancer diagnosis. The results indicate that clinicians benefit from AI regardless of training level, with the largest improvement seen in the group with least experience in dermatology. However, few studies were conducted in clinical settings. The researchers encourage future studies to be conducted in the real-life settings where the AI tools are intended to be used in.