Involved Research Groups
- Predicting overall survival and treatment response from molecular data in neuroblastoma: Neuroblastoma is a malignant disease of the sympathetic nervous system. Interestingly, in a small group of patients, the tumour regresses on its own despite an advanced stage. In this project, we use regularised Cox models and other machine learning techniques to make progression predictions for individual patients from molecular data.
- Preoperative risk assessment of sarcomas using artificial intelligence methods: In this research project, we are developing predictive models for distinguishing uterine sarcomas together with the department of gynaecology and obstetrics at Greifswald University Medical Centre in order to offer doctors AI-based support for treatment decisions.
- Classification of lung tumours with mass spectrometry methods: The classification of lung tumors in patients with a previous head and neck tumor poses a difficult problem in diagnostics for the pathologist: Is it a new primary lung tumor or a metastasis of the previous head and neck tumor? We use decision trees and mass spectrometry to support therapeutic decisions in these situations.
Prof. Dr. Lars Kaderali