Sie befinden sich hier



Digital Health


Karin Arregui, Mannheim University for Applied Sciences

Project description

Advancements in science, data and technology are driving progress in personalized healthcare. Bench‐to‐Bedside collaborations have the potential to improve the understanding of disease processes and to lead to novel therapeutic approaches. This approach takes into account individual differences in people's genes, environments, and lifestyles and enables clinicians to better understand the complex mechanisms underlying a patient's condition. Research tools such as proteomics and genomics in combination with smart phone apps and social platforms allow the collection of data on patient outcomes. Application of computational biology and data analytics support the interpretation of large data sets and take individual variability into account.

The goal of this project is the development of an AI-supported apps for the objective and continuous study-related monitoring of patients for more precise correlation of clinical data to support personalized cancer therapy. Within the framework of this doctoral program, the preparation of suitable applications for marketability is envisioned. Combining both academic research and ready-to-market development prepares PhD students well for the current challenges in the healthcare sector.

Collaboration partners