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Anja Lisa Riediger on Muck Rack

Anja Lisa Riediger

As seen in: Nature, MDPI
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Articles

Multimodal plasma and urinary cell-free DNA profiling improves risk stratification in newly diagnosed prostate cancer - npj Precision Oncology

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By Anja Lisa Riediger, Samaneh Eickelschulte, Florian Janke, Olga Lazareva, Daniel Hübschmann, Stefan Duensing, Oliver Stegle, Holger Sültmann, Magdalena Görtz, Daniela Janscho
| Nature Verified
Abstract Prostate cancer (PCa) is a heterogeneous disease, impeding early detection and risk stratification.
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Digital twins for personalized treatment in uro-oncology in the era of artificial intelligence - Nature Reviews Urology

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By Magdalena Görtz, Anja Lisa Riediger, Michael Byczkowski, Anna Nitschke
| Nature Verified
Abstract ‘Digital twins’, also called ‘digital patient twins’ or ‘virtual human twins’ — digital patient-specific models derived from multimodal health data — are a strong focus in health care and are emerging as a promising tool for improving personalized care in uro-oncology. These models can integrate clinical, genomic, imaging and histopathological information to simulate organ behaviour and disease progress as well as predict responses to treatments.
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Biomarkers for the Detection and Risk Stratification of Aggressive Prostate Cancer

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By Samaneh Eickelschulte, Arlou Kristina Angeles, Anja Lisa Riediger, Florian Janke
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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