Our projects at Data4Life

Data4Life contributes to the AI ready platform at Mount Sinai, giving researchers access to vast datasets across the Mount Sinai Health System.

Data4Life and the Chair for Digital Health - Connected Healthcare at the Hasso Plattner Institute are building the SensorHub platform making wearable and sensor data ready for research.

As part of the consortium, we’re contributing to developing an AI early warning system to steady the economy in threatening crisis situations.

Data4Life's DAKI Health study contributes to the early detection of future pandemics and natural disasters as part of the DAKI-FWS research project.

MEx is a digital platform that maps metadata on research activities and research data at the RKI in a transparent way, aiming to facilitate the reuse of this data.

With the eCOV study, Data4Life enabled digital data donation for a better understanding of the effectiveness of COVID-19 vaccines in everyday life

Together with Charité – Universitätsmedizin Berlin, we support scientists and university hospitals working to develop new apps for pandemics.

With the FeMFit study, Data4Life explored the extent to which valid data can be collected on menstrual cycles by combining wearables and digital questionnaires.

CRONOS+ was a digital study for pregnant women with COVID-19 conducted in cooperation with the German Society for Perinatal Medicine.

The ACCEPT study on colorectal cancer is a collaboration with the Department of General and Visceral Surgery at Ulm University Hospital.

Within the Smart4Health project, Data4Life is working with 18 partners to provide EU citizens with digital health solutions.

Data4Life helped facilitate coronavirus testing at airports and deliver test results digitally for travelers arriving from high-risk areas.

Data4Life and Charité offered COVID-19 tests to school employees in Berlin as part of the Berlin Senate’s coronavirus testing strategy.

CovApp was developed by Data4Life in cooperation with the Charité and helped determine the likelihood that someone was infected with the coronavirus.

Our in-app solution helps people with a rare disease improve their quality of life by providing insights on everyday nutrition.