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.
Ludwig-Maximilians-Universitaet Muenchen Jan 30 2025 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 , LMU Munich, and the Berlin Institute for the Foundations of Learning and Data at TU Berlin has developed a new approach to this problem using artificial intelligence .
Although large amounts of clinical data are available in modern medicine, the promise of truly personalized medicine often remains unfulfilled." Interaction of 350 parameters examined Oncological clinical practice currently uses rather rigid assessment systems, such as the classification of cancer stages, which take little account of individual differences such as sex, nutritional status, or comorbidities. "Modern AI technologies, in particular explainable artificial intelligence , can be used to decipher these complex interrelationships and personalize cancer medicine to a much greater extent," says Prof.
Cancer Cancer Treatment Genetic Hospital Imaging Laboratory Medicine Research Tumor
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