Digital Oncology Conference 2023

A CCC-N and Else Kröner Symposium - March 15 and 16, 2023

The Digital Oncology Conference 2023 is a scientific symposium and networking platform for digital oncology research to promote interdisciplinary and interprofessional cooperation. 

Big data in cancer research, artificial intelligence in diagnostics, or planning virtual tumor boards for interdisciplinary treatment - digital innovations have had a massive impact on oncology in recent years and are indispensable in everyday medical practice. At the Digital Oncology Conference we want to give an overview about the potentials and challenges of implementing digital approaches in cancer research and health care. 

The research conference took place at the Deutsche Messe Hannover on March 15 and 16, 2023.

The Digital Oncology Conference thanks all participants for sharing important findings and for showing recent advances and updates in state of the art technology for research and clinical practice.


National and international speakers present their current research on digital health

Topics included: Digital and Computational Histopathology, AI to Advance Cancer Imaging, Digital Surgery, Machine Learning and Visualization Techniques for Clinical Decision Support in Oncology, AI and Machine Learning Techniques Improving Cancer Research, Building Trust in Artificial Intelligence Models and Digital Methods in Medical Education

Additional Highlight

Satellite Young Scientist Symposium

The Satellite Young Scientist Symposium is a networking platform for young scientists. Young clinician and medical scientist can present their projects and discuss with their peers. The Satellite Symposium is organized by doctoral students from participating locations.

Conference Flyer

Please see our conference flyer for detailed information on the program, speakers, chairs and more.

Conference Retrospective & Highlights

Watch videos of interviews of speakers and participants of the conference and a selection of photos taken during the conference.

Participation and Organization

Researchers, scientists and clinicians with a focus on translational cancer research, digital health, machine learning techniques and computational methods in medical treatment and diagnosis as well as colleagues and partners of the CCC-N network were invited to register for the event. The event was supported by the Else-Kröner-Fresenius Foundation (EKFS).

The event was organized by the CCC-N translational research team (Prof. Dr. Michael Heuser, MHH and Prof. Dr. Günter Schneider, UMG) in cooperation with the Deutsche Messe AG. 
The conference is certified with 12 CME credits by ÄKN (Ärztekammer Niedersachsen). 

Additional Highlight

Intuitive Surgery Workshop on Da Vinci Surgical System

The company Intuitive Surgery offered a hands-on training on one of three Da Vinci robot consoles. Assistant doctors, especially from the fields of gynecology, urology, visceral surgery could receive an introduction to the technology and handling of the Da Vinci Surgical System.


Translational Research Team MHH

Prof. Dr. Michael Heuser (Head Ressort Translational Research CCC Hannover)
Bärbel Uhlenbruck (Project Coordination)

CCC Hannover (Claudia von Schilling-Zentrum)
Medizinische Hochschule Hannover (MHH)
OE 8850, Carl-Neuberg-Str. 1, 30625 Hannover, Deutschland
Tel.:+49 (0)511 5 32 - 4874

Translational Research Team UMG

Prof. Dr. Günter Schneider (Head Ressort Translational Research CCC Göttingen)
Dr. Petra Runge-Wollmann and Alexander Müller (Project Coordination)

UniversitätsKrebszentrum Göttingen (G-CCC)
Universitätsmedizin Göttingen
Von-Bar-Str. 2/4
37075 Göttingen
Tel.: 0551/39- 62359


Sponsored by


Funded by

Photographs and/or video recordings may be made during the conference. These recordings can be accessed worldwide if they are published on the internet. A further use of the recordings by third parties can therefore not be excluded. With your participation you agree to the publication of the recordings in the context of the public relations work of the CCC-N without any claim to remuneration.