We want to improve the lives of patients.

Every day. Worldwide.

Our goal is to sustainably improve the lives of patients with chronic kidney failure – with data, algorithms and artificial intelligence.

As a global innovation unit of Fresenius Medical Care, we use access to a unique data pool. We are the only company that combines development, operation and application of dialysis machines under one roof, and provides access to comprehensive technical and medical data.

We develop innovative solutions for patients, doctors and clinics. To this end, we are making our dialysis machines more intelligent, aiming at making better therapies available to all people worldwide in the future.

Our Team

Dr. Matthias Kuss Leadership

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Max Botler Data Scientist

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Fiona Wille Data Scientist

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Lena Scherer Master's degree candidate

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Dr. Felix Brockherde Senior Data Scientist

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Aaron Pickering Director Data Science

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Interviews

Dr. Matthias Kuss Leadership

Data Solutions is part of Global Research & Development at Fresenius Medical Care. We draw on a global network of excellent engineers and therapy developers and support them in making our devices even "smarter".

Max Botler Data Scientist

The most important aspect is certainly that our work is directly aimed at the well-being of the patients. On the technical level, we work along the entire pipeline, from the first concepts to the implementation of finished products.

Fiona Wille Data Scientist

The large number and diversity of projects allows us to get to know different perspectives on certain topics. There are the needs of the patients, the everyday work of the doctors and then there is the technical dimension, which has certain potentials but also its limitations. In addition, there is the chance to take on different tasks within the data science projects.

Lena Scherer Master's degree candidate

If you have lots of ideas about what tomorrow's medical care should look like and are interested in simply trying out new approaches, this is the right place for you. Especially the combination of hardware and data science, the continuous exchange and involvement of patients offer many possibilities to really change something and to think ahead.

Dr. Felix Brockherde Senior Data Scientist

Firstly, we are analyzing the extent to which we can further individualize the therapy, for example, by making intelligent suggestions for therapy parameters to hospital staff or by using sensor data from previous therapies to detect thrombosis at an earlier stage. Secondly, we use sensor data to analyze the clinical process and thus make the therapy more comfortable for the patients.

Aaron Pickering Director Data Science

In data science there seems to have been a recent shift towards explainable and interpretable machine learning models. On a related note, causal inference also seems to be becoming more popular within the machine learning community. This trend is particularly applicable to the medical devices sector, where explainability is at a premium.