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 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


Ordnung in der Wissenschaft (Ausgabe 17-22):
“Künstliche Intelligenz in der Krebstherapie”
Gabriel Kalweit; Maria Kalweit; Ignacio Mastrolo; Joschka Bödecker; Roland Mertelsmann

Wiley Online Library – Electrophoresis:
“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