Scientists at the German Cancer Research Center (DKFZ), Heidelberg University Hospital (UKHD), and Mannheim University Medical Center (UMM) are presenting a method that enables artificial intelligence (AI) to learn how to transfer medical image data from animals to humans. This “xeno-learning” could help make surgical procedures safer and more precise in the future – without relying on human training data.

A key molecular mechanism drives the growth of liver cell cancer while simultaneously suppressing the body's immune response to the tumor. This has now been published in the journal Nature by a team led by researchers from the DKFZ, the UKT, and the Sanford Burnham Prebys Medical Discovery Institute. However, the results also show that this very mechanism could help identify patients who respond particularly well to immunotherapy in the…

Artificial intelligence allows tracing the evolution of genetic control elements in the developing mammalian cerebellum. An international research team led by biologists from Heidelberg University as well as the Vlaams Instituut voor Biotechnologie and KU Leuven has now developed advanced AI models that can predict the activity of these elements based solely on their DNA sequence.