Collaborative Research Institute Intelligent Oncology

Collaborative Research Institute
Intelligent Oncology

Harness the power of modern Artificial Intelligence techniques for the fight against cancer.

We strive to create an open and creative research environment at the Intersection of Translational Oncology and Machine Learning for talents all across the globe at the heart of Freiburg, Germany.

Collaborative Research

Multidisciplinary offices and laboratories, regular project leader meetings, international state-of-the-art conferences

Research Core Facilities

The institute has three core areas: Wet Labs, AI and Philosophy

Experimental Research

Interaction of AI experts, clinical and experimental scientists in joint wet labs

The potential of AI to Cure Cancer

Current Publications


  • CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations. Mehdi Naouar, Gabriel Kalweit, Anusha Klett, Yannick Vogt, Paula Silvestrini, Diana Infante, Roland Mertelsmann, Joschka Boedecker and Maria Kalweit. NeurIPS 2023 Workshop on Medical Imaging.
  • Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design. Yannick Vogt, Mehdi Naouar, Maria Kalweit, Cornelius Miething, Justus Duyster, Roland Mertelsmann, Gabriel Kalweit and Joschka Boedecker. NeurIPS 2023 Workshop on Machine Learning in Structural Biology.
  • Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning. Paul Schmidt-Barbo, Gabriel Kalweit, Mehdi Naouar, Lisa Paschold, Edith Willscher, Christoph Schultheiss, Bruno Markl, Stefan Dirnhofer, Alexandar Tzankov, Mascha Binder und Maria Kalweit. Preprint
  • Selection of phage-displayed antibodies with high affinity and specificity by electrophoresis in microfluidic devices. Anahí Sanluis-Verdes; Ana Peñaherrera; José L. Torán; Anahí Sanluis-Verdes; María A. Noriega; Betiana Lerner; Maximiliano Pérez; José M. Casasnovas. Wiley Online Library – Electrophoresis. Web
  • Socrates in the Machine: The “House Ethicist” in AI for Healthcare. Luis García Valiña, PhD; Paola Buedo, MD, MA; Timothy Daly, PhD. Journal of Radiology Nursing. Web
  • Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles. Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo, Philipp Poxleitner, Marc Metzger, Joschka Boedecker and Maria Kalweit. Digital Oncology Conference (Oral). Web


  • Künstliche Intelligenz in der Krebstherapie. Gabriel Kalweit; Maria Kalweit; Ignacio Mastrolo; Joschka Bödecker; Roland Mertelsmann. Ordnung in der Wissenschaft (Ausgabe 17-22). Web

Current Projects

Prof. Dr. Robert Huber


Automated Machine Learning-Assisted Media Optimization

PD Dr. Dr. Philipp Poxleitner


Artificial intelligence augmented intraoperative real time histology for head and neck cancer treatment

PD Dr. Florian Scherer

Liquid Biopsy

Ultra-sensitive genotyping of circulating tumor DNA for noninvasive classification of brain cancers

Prof. Dr. Tanja Hartmann

Cell Migration

Development of a machine learning approach for leukemia cell-microenvironment interactions

Prof. Dr. Rainer Claus


Using artificial intelligence to decipher and manipulate cellular growth patterns in acute myeloid leukemia

Prof. Dr. Mascha Binder


Using machine learning and a living immune repository to detect disease-specific and anti-tumor immune signatures



AI-Enhanced Lab-on-a-Chip and real-time imaging for personalized drug selection in cancer treatment

Dr. Cornelius Miething

Antibody Design

Automated Antibody Design for Targeted Cellular Immunotherapy of Anaplastic Thyroid Cancer