Welcome to the Schüffler Lab!
Pathology tremendously benefits from artificial intelligence (AI), as AI methods get better in identifying and characterizing specific diseases in digital medical images.
In our lab at the Technical University of Munich, we are developing, applying and validating new models for cancer detection, segmentation and quantification in digital histological slides. We are also studying new approaches for the recognition of genetic alterations in pathology slides, the subtyping of cancers, and the prediction of outcome such as therapy response. With our work, we deepen our understanding in cancer biology, and faciliate medical workflows in pathology to improve patient care.
Our lab is affiliated with the Institute of Pathology, the Department of Informatics and the Munich Data Science Institute (MDSI) enabling us to combine ressources from all relevant domains (data, computing, mentoring, expertise, and more) for forefront research and training, and to shape the future of cancer treatment and to help patients and doctors.
We are located in the heart of Munich, next to the Klinikum rechts der Isar and the TranslaTUM for translational cancer research, which connects us with outstanding experts in medical domains, life sciences, computational biology and radiology, and many more.
We are hosting a whole slide viewer for research in digital pathology.
Feel free to attend our seminars!
Group SeminarEvery Wed, 11:00a - 12:30p, Room 38.1.01 or zoom
Munich AI LecturesEvery month, https://munichlectures.ai
Kipoi SeminarEvery month, https://kipoi.org/seminar
MDSI Networking SeminarEvery Wed, 10am, MDSI https://www.mdsi.tum.de/en/mdsi/education/phd-seminar
Prof. Dr. Peter Schüffler
Technical University of Munich
This year's #digitalpathology & #AI Congress from @lifesciences_GE in NYC was grand! In fantastic talks, we learned about digital transition stories and cutting-edge research in #pathologyAI. I presented our two-story scanning system and #multimodalAI for Glioma subtyping. pic.twitter.com/rHKcszd2Fs— Schuefflerlab (@schuefflerlab) July 4, 2023