KITSO Research Group
KI-gestützte Therapiestratifizierung in der Onkologie
The KITSO group develops computational and machine learning approaches for personalized cancer therapy stratification. We are part of the Department of Radiation Oncology at LMU Hospital and the Faculty of Medicine at Ludwig-Maximilians-Universität Munich.
Research
Our main aim is to integrate multi-omics data, medical imaging, and clinical information to develop predictive models that support treatment decisions in oncology. We focus on translational applications that can directly impact patient care.
Here are some research areas in which we are actively involved:
Radiomics and Medical Imaging
Development of AI models for quantitative analysis of CT, MRI, and PET imaging data to support radiation therapy planning, treatment response assessment, and outcome prediction.
Digital Pathology
Application of deep learning methods to histopathological images for automated tissue classification, biomarker discovery, and integration with molecular data.
Multi-omics Data Integration
Computational frameworks for integrating genomic, transcriptomic, and proteomic data to characterize tumor heterogeneity and identify therapeutic vulnerabilities.
Clinical Decision Support
Translation of predictive models into clinical workflows, with emphasis on interpretability and validation in prospective cohorts.
