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The Human Radiome Project aims to revolutionize medical science through radiology by creating a foundational AI model to analyze complex 3D radiological data, including CT and MR scans across diverse populations. The project, inspired by the Human Genome Project, seeks to enhance diagnostic and treatment decisions by mapping anatomical and disease patterns. Building on the success of "nnU-Net," the team will develop the model using over 4.8 million 3D images, sourced from clinical data and studies like NAKO and the UK Biobank. The model will support over 70 applications, including disease analysis, risk prediction, and clinical imaging, fostering collaborations with healthcare institutions and industry.

Spokesperson

Klaus Maier-Hein

Head of Medical Image Computing, Managing Director "Data Science and Digital Oncology", DKFZ

Participating Centers