Medical imaging using magnetic resonance imaging (MRI) is very time-consuming since an image has to be compiled from data from many individual measurements. Thanks to the use of machine learning, ...
Using smartly trained neural networks, researchers at TU Graz have succeeded in generating precise real-time images of the beating heart from just a few MRI measurement data. Other MRI applications ...
An open-label, phase I trial of the SIRPĪ± monoclonal antibody, BI 770371, alone and in combination with the PD-1 inhibitor ezabenlimab in patients with advanced solid tumors. This is an ASCO Meeting ...
A recent Radiology journal study assesses the power of a fully automated deep learning (DL) model to produce deterministic outputs for identifying clinically significant prostate cancer (csPCa). Study ...
GE HealthCare has dosed the first patient in a Phase 2/3 trial of a manganese-based MRI contrast agent and secured FDA clearance for three next-generation SIGNA MRI systems. The contrast agent aims to ...
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