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Our goals

We will improve COPD diagnosis and classification in clinical practice in a new personalized medicine platform. For that, we perform a prospective trial to translate recent research results and previous joint work on imaging and molecular biomarkers as well as clinical decision support systems (CDSS) and artificial intelligence.

Our main objectives are:

Validation of a Clinical Decision Support System, Prognosis of the Disease Course, and Prediction of Therapy Response

With the help of a clinical study and an economic evaluation, we validate a previously developed therapeutic decision aid based on objectified diagnostic assessment markers, i. e., imaging biomarkers, focusing on comorbidities of COPD. In addition, we use our prospective diagnostic study for the prognosis of the disease course and for the prediction of therapy response.

Genotyping and Phenotyping

Using deep genotyping and phenotyping, we define clinically relevant subgroups and develop innovative integrated analysis tools, which enable new perspectives on molecular disease mechanisms, development and progression of diseases, as well as therapy.

Implemenation of a Clinical Decision Support

 Based on the interpretation of multi-factorial and multi-modal data, we implement and optimize an innovative and user-friendly clinical decision support for medical professionals.

Personalized Treatment Strategies

We enable personalized treatment strategies using comprehensive integration of various data sources such as clinical data, medical imaging, and omics data as well as machine learning.