CALM-QE
Multidimensional Asthma & COPD research models based on AI and machine learning
Duration of the project: May 2023- April 2027
In order to better understand the clinical pictures of asthma and chronic obstructive pulmonary disease (COPD) and to be able to treat patients individually according to their risk profile, the influencing factors of the clinical pictures and their interrelationships are to be better understood.
Multidimensional models are to be developed using statistical methods and machine learning approaches in order to predict the risk for important clinical endpoints.
In the data integration centers (DIZ) of the Medical Informatics Initiative (MII), healthcare data will be made available for medical research in accordance with data protection regulations.
In Module 3 of the MII, eight clinical use cases and three method platforms are funded- including CALM-QE!
In the clinical use cases (e.g. CALM-QE), the added value of sharing health-related data beyond the boundaries of the consortia in research and healthcare will be tested using medically relevant use cases.
Within the consortium the Berlin site is leading sub-project 4 “Integration of personal health data with environmental data for secondary prevention” in the CALM-QE project network. The aim is to close a significant gap between inpatient and outpatient care, optimize personalized intervention and thus reduce the risk of inpatient admissions. Patients are equipped with smartwatches to record activity, heart rate and oxygen saturation in real time as well as data on environmental factors via other devices.
Further information can be found on the CALM-QE webpage.
