Medical Xpress January 30, 2025
Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these few parameters are often not enough to understand the complexity of diseases such as cancer.
A team of researchers from the Faculty of Medicine at the University of Duisburg-Essen (UDE), LMU Munich, and the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin has developed a new approach to this problem using artificial intelligence.
Based on the smart hospital infrastructure at University Hospital Essen, the researchers have integrated data from different modalities—medical history, laboratory values, imaging, and genetic analyses—to support clinical decision-making.
“Although large amounts of...
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