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 TUM Institute of Pathology,
- the Department of Informatics,
- the Munich Data Science Institute (MDSI), and
- the Munich Center for Machine Learning (MCML)
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.
We participate in the BIGPICTURE EU-Project (see on cordis or imi).
Feel free to attend our seminars!
Group Seminar
Every Wed, 11:00a - 12:30p, Room 38.1.01 or zoomMunich AI Lectures
Every month, https://munichlectures.aiKipoi Seminar
Every month, https://kipoi.org/seminarMDSI Networking Seminar
Every Wed, 10am, MDSI https://www.mdsi.tum.de/en/mdsi/education/phd-seminarSchüffler Lab
Prof. Dr. Peter Schüffler
Technical University of Munich
Trogerstrasse 18
81675 Munich
Google Maps
Find us at the TUM
Find us at the MDSI
Find us at the MCML
Find us on twitter
Wanna join us to shape tomorrow’s AI in pathology? Find here our 2025 MCML PhD Matchmaking Call for a funded 3y position, ideally starting on 1 July 2025. The application portal will be open from 15 October - 14 November 2024. https://t.co/6wvaAZHzGl
— Schuefflerlab (@schuefflerlab) October 2, 2024