Digital Oncology Conference 2023
Conference Program
Day 1 - March 15, 2023
Welcome
Conference Chairs: Michael Heuser (Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, MHH), Günter Schneider (Department of General, Visceral and Pediatric Surgery, UMG)
- 11:30 – 12:20 Welcome Lunch
- 12:20 – 12:30 Welcome Note
Session 1 - Digital and Computational Histopathology
Chairs: Friedrich Feuerhake (Institute of Pathology, MHH), Niels Grabe (Institute of Pathology, UMG)
- 12:30 – 12:55
Moritz Middeke (Department of Internal Medicine I, University Hospital Dresden & Else Kröner Fresenius Center for Digital Health Dresden, Germany) Computer Vision and Deep Learning for improved diagnostics of myeloid malignances - 12:55 – 13:20
Peter Schüffler (Computational Pathology, Technical University of Munich, Germany) Making sense of pathology images - 13:20 – 13:45
Jeroen van der Laak (Computational Pathology, Radboud University Medical Center Nijmegen, Netherlands) Use cases for computational pathology with high potential for clinical implementation and diagnostic decision support - 13:45 – 14:10
Friedrich Feuerhake (Institute of Pathology, Hannover Medical School, Germany) Integration of computational pathology algorithms with established conventional diagnostic workflows - 14:10 – 14:25 Presentations from Abstracts
- Mehdi Naouar (Collaborative Research Institute "Intelligent Oncology", Freiburg, Germany) Robust Metastases Detection in Whole Slide Images Via Multi-Magnification Ensembles
- Simon Peter (Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Germany) The immune tumor microenvironment in intrahepatic cholangiocarcinoma
- 14:25 – 15:00 Coffee & Cake
Session 2 - AI to Advance Cancer Imaging
Chairs: Kristina Ringe (Department for Diagnostic and Interventional Radiology, MHH), Christian Dullin (Department of Diagnostic and Interventional Radiology, UMG)
- 15:00 – 15:25
Rami El Shafie (Clinic for Radiotherapy and Radiation Oncology, University Medical Center Göttingen, Germany) AI and Digitization in Radiation Oncology: Status quo and quo vadis - 15:25 – 15:50
Horst Hahn (Institute for Digital Medicine, Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany) Integrating clinical and imaging data in oncology - 15:50 – 16:15
Florian Putz (Radiation Clinic, Universitätsklinikum Erlangen, Germany) How can AI improve radiotherapy? - 16:15 – 16:40
Christian Dullin (Department of Diagnostic and Interventional Radiology, University Medical Center Göttingen, Germany) Can virtual histology replace histopathology? - 16:40 – 16:55 Presentatiosn from Abstracts
- Bernd Schweizer (Department of Engineering,Hochschule RheinMain, Rüsselsheim, Germany) Truncated and Limited Angle CT Reconstruction using NeRF Architectures
- Johannes Uhlig (Department of Urology, University Medical Center Göttingen, Germany) An explainable AI-approach to automatic segmentation of renal tumors on CT: a multicenter imaging study
- 16:55 – 18:30 Poster Session & Get Together
Day 2 - March 16, 2023
Session 3 - Machine Learning and Visualization Techniques for Clinical Decision Support in Oncology
Chairs: Steffen Oeltze-Jafra (Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig, MHH), Anne-Christin Hauschild (Department of Medical Informatics, UMG)
- 9:00 – 9:20
Melanie Börries (Department for Biometry, Epidemiology and Medical Bioinformatics, Albert-Ludwigs-Universität Freiburg, Germany) Systems medicine approach to support clinical decisions in oncology - 9:20 – 9:40
Anne-Christin Hauschild (Department of Medical Informatics, University Medical Center Göttingen, Germany) Take a leap: New Algorithms and Multi- Omics Data to Support Clinical Decision in Oncology - 9:40 – 10:00
Renata Raidou (Institute of Visual Computing & Human-Centered Technology, Technical University Vienna, Austria) Visual Analytics for Digital Radiotherapy - 10:00 – 10:20
Alexander Oeser (Innovation Center for Computer-Assisted Surgery, Leipzig University, Germany) In-Silico Modeling of Therapeutic Outcomes to Support Decision-Making in Oncology - 10:20 – 10:40 Discussion Session 3
- 10:40 – 10:55 Presentations from Abstracts
- Serhii Aif (Max Planck Institute for the Science of Light, Erlangen, Germany) Reinforcement learning agent improves evolution-based cancer therapies
- Stefan Schrod (Department of Medical Bioinformatics, University Medical Center Göttingen, Germany) Machine Learning guided treatment optimization for personalized medicine
- 10:55 – 11:25 Coffee & Cake
Session 4 - Digital Surgery
Chairs: Peter Hillemanns (Department of Gynecology and Obstetrics, MHH), Michael Ghadimi (Department of General, Visceral and Pediatric Surgery, UMG)
- 11:25 – 11:50
Tilman Schlick (Intuitive Surgery, Da Vinci Robotic Surgery) Innovating for a better future - 11:50 – 12:15
Martin Wagner (Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital ; Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden) From Surgical Data Science to AI-Assisted Surgery - Clinical Translation of Machine Learning in Surgical Oncology - 12:15 – 12:40
Nils-Claudius Gellrich (Department of Oral and Maxillofacial Surgery, Hannover Medical School, Germany) The power of digital technologies for craniomaxillofacial tumor surgery and postablative reconstruction - 12:40 – 13:05
Michael Ghadimi (Department of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, Germany) Establishing digital surgery at a German university hospital - 13:05 - 13:20
Stefan Rieken (Clinic for Radiotherapy and Radiation Oncology, University Medical Center Göttingen, Germany) Digital Infrastructure for Support of Clinical Trials - 13:20 – 14:05 Lunch
Session 5 - Building Trust in Artificial Intelligence Models and Digital Methods in Medical Education
Chairs: Sabine Salloch (Institute for Ethics, History and Philosophy of Medicine, MHH), Ulrich Sax (Department of Medical Informatics, UMG)
- 14:05 – 14:30
Sabine Salloch (Institute for Ethics, History and Philosophy of Medicine, Hannover Medical School, Germany) Debate: AI will replace ethics committees: Yes - 14:30 – 14:55
Markus Herrmann (Heidelberg University Hospital (UKHD), NCT Heidelberg, Germany) Debate: AI will replace ethics committees: No - 14:55 – 15:20
Michal Matyjas/Pascal Grosse (Department of Neurology and Experimental Neurology, Charité – Berlin, Germany) New Digital Resources to Improve Medical Education - 15:20 – 15:40
Michael Heuser (Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Hannover Medical School, Germany) Training the next generation in Digital Medicine: Experience from the DigiStrucMed Graduate Program - 15:40 – 15:55 Presentations from Abstracts
- Jacqueline Beinecke (Institute for Medical Informatics, University Medical Center Göttingen , Germany) CLARUS: An Interactive Explainable AI Platform for Manual Counterfactuals in Graph Neural Networks
- Frank Ursin (Institute for Ethics, History and Philosophy of Medicine, Hannover Medical School, Germany) Levels of Explicability for medical Artificial Intelligence: What do we need and what can we reach?
- 15:55 – 16:25 Coffee & Cake
Session 6 - AI and Machine Learning Techniques Improving Cancer Research
Chairs: Tim Kacprowski (Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and MHH), Tim Beißbarth (Institute of Medical Bioinformatics, UMG)
- 16:25 – 16:50
Francesca Finotello (Institute of Molecular Biology & Digital Science Center, University Innsbruck, Austria) Modelling immunotherapies in silico - 16:50 – 17:15
Jack Kuipers (Department of Biosystems Science and Engineering, ETH Zurich, Switzerland) Understanding tumour evolution with statistical machine learning - 17:15 – 17:40
Michael Menden (Computational Biomedicine, Helmholtz Institute Munich, Germany) A Vision of Computational Translational Pharmacogenomics - 17:40 – 18:05
Tim Beißbarth (Institute of Medical Bioinformatics, University Medical Center Göttingen, Germany) How can we make sense of the data overload in cancer research? - 18:05 – 18:20 Presentations from Abstracts
- Hryhorii Chereda (Institute of Medical Bioinformatics, University Medical Center Göttingen, Germany) Stability of feature selection utilizing Graph Convolutional Neural Network and Layer-wise Relevance Propagation
- Klara Drofenik (Institute of Medical Bioinformatics, University Medical Center Göttingen, Germany) Classifying protein variants of unknown significance with machine learning structure prediction models
- 18:20 – 18:25 Young Scientist Digital Oncology Poster AWARD
- 18:25 – 18:30 Concluding Remarks