MII

CALM-QE is a project focused on addressing the challenges posed by Chronic Obstructive Pulmonary Disease (COPD) and bronchial asthma (BA), two prevalent non-communicable pulmonary diseases with significant socio-economic implications. These conditions are influenced by intricate interactions between genes and the environment, resulting in diverse phenotypes and endotypes that can overlap between COPD and BA.

The PM4Onco project aims to establish a long-term infrastructure for integrating and analyzing research and healthcare data, advancing the implementation of personalized cancer therapy in clinical practice. PM4Onco, which stands for “Personalized Medicine for Oncology,” refers to new therapies that specifically target cancer based on its individual characteristics.

Medical professional societies recommend personalized risk assessment tools to tailor prevention, diagnosis, and treatment of cardiovascular diseases. However, implementing these recommendations in clinical practice in Germany requires improvement. There is a lack of technical infrastructure to integrate relevant clinical information from various sources, insufficient standardization and structure in electronic health records for data capture, and challenges in data exchange, hindering automated individual risk calculations.

The main aim of GeMTeX is to create a large annotated text collection of German medical medical texts from daily patient care. With the consent of patients’ consent, the plan is to collect documents from the electronic health records (ePA) from six university hospitals.

Older people in particular often take several medicines at the same time. This can lead to undesirable drug side effects and interactions. Consequences can be additional clinical pictures and need for therapy.

Open Medical Interference (OMI) is a project in the second funding phase of the Medical Informatics Initiative (MII) consortia and aims at enabling the usage of remote artificial intelligence (AI) services.

The SMITH project started in 2018 with the goal to make medical data generated in everyday clinical practice available to medical research in a standardized form. Patients benefit from reliable research results, more precise diagnoses and better treatments.