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 of digital oncology research to promote interdisciplinary and interprofessional cooperation.

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

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. 

About

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

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 are invited to register for the event. Registration is open now!

The event is 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 event is supported by the Else-Kröner-Fresenius Foundation (EKFS).

Program Overview

Day 1 - March 15, 2023

  • 11:30 – 12:20 Welcome Lunch
  • 12:20 – 12:30 Welcome 
    Conference Chairs:
    Prof. Dr. Michael Heuser (Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, MHH)
    Prof. Dr. Günter Schneider (Department of General, Visceral and Pediatric Surgery, UMG)
  • 12:30 – 14:25
    Session 1: Digital and Computational Histopathology
    Chairs:
    Prof. Dr. med. Friedrich Feuerhake (Institute of Pathology, MHH)
    Prof. Dr. Niels Grabe (Institute of Pathology, UMG)
  • 14:25 – 15:00 Coffee & Cake
  • 15:00 – 16:55
    Session 2: AI to Advance Cancer Imaging
    Chairs:
    PD Dr. Dullin (Department of Diagnostic and Interventional Radiology, UMG)
    Prof. Dr. med. Kristina Ringe (Department for Diagnostic and Interventional Radiology, MHH)
    16:55 – 18:30 Poster Session & Get Together with Snacks

Day 2 - March 16, 2023

  • 9:00 – 10:55
    Session 3: Machine Learning and Visualization Techniques for Clinical Decision Support in Oncology
    Chairs:
    Prof. Dr. Anne-Christin Hauschild (Department of Medical Informatics, UMG)
    Prof. Dr.-Ing. Steffen Oeltze-Jafra (Peter L. Reichertz Institute for Medical Informatics, MHH)
  • 10:55 – 11:25 Coffee & Cake
  • 11:25 – 13:20
    Session 4: Digital Surgery
    Chairs:
    Prof. Dr. med. Michael Ghadimi (Department of General, Visceral and Pediatric Surgery, UMG)
    Prof. Dr. med. Peter Hillemanns (Department of Gynecology and Obstetrics, MHH)
  • 13:20 – 14:05 Lunch
  • 14:05 – 15:55
    Session 5: Building Trust in Artificial Intelligence Models and Digital Methods in Medical Education
    Chairs:
    Prof. Dr. med. Dr. phil. Sabine Salloch (Institute for Ethics, History and Philosophy of Medicine, MHH)
    Prof. Dr. Ulrich Sax (Department of Medical Informatics, UMG)
  • 15:55 – 16:25 Coffee & Cake
  • 16:25 – 18:20
    Session 6: AI and Machine Learning Techniques Improving Cancer Research
    Chairs:
    Prof. Dr. Tim Beißbarth (Institute of Medical Bioinformatics, UMG)
    Prof. Dr. Tim Kacprowski (Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and MHH)
  • 18:20 – 18:25 Young Scientist Digital Oncology Poster Award
  • 18:25 – 18:30 Conclusion

Integrated Event

The conference is integrated in the digitalhealth.Pro fair taking place at the same time. At the digitalhealth.Pro fair, around 2,000 experts from the health industry are expected (start-ups, industry, politics, health sector and academia). The connection to the digitalhealth.Pro fair is intended to generate synergies and promote interdisciplinary and interprofessional cooperation.

Registration & Abstracts

Register here to take part at the conference - registration is open now! Here you find also information how to upload an abstract.

Travel Information

The conference will take place on the ground of the Hannover Fair. Here you find detailed travel information to plan your journey. 

digitalhealth.PRO

The conference is integrated to the digitalhealth.Pro trade fair taking place at the same time.

Contact

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
Uhlenbruck.Baerbel(at)mh-hannover.de
https://www.mhh.de/ccc-hannover-claudia-von-schilling-zentrum 

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

mailto:petra.runge-wollmann(at)med.uni-goettingen.de
https://gccc.umg.eu/

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.