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Related Experiment Video

Updated: Apr 23, 2026

Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis
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[Digital twins in uro-oncology].

Johanna Smielowski1, Maximilian Glienke2, Sherif Mehralivand3

  • 1Urologische Klinik, Universitätsklinikum Heidelberg, Heidelberg, Deutschland.

Urologie (Heidelberg, Germany)
|April 22, 2026
PubMed
Summary

Digital twins offer a new path for precision medicine in uro-oncology by integrating patient data for dynamic risk assessment and treatment planning. Advancing this technology requires robust data integration and regulatory frameworks for clinical use.

Area of Science:

  • Uro-oncology
  • Precision Medicine
  • Digital Health
Keywords:
Artificial intelligenceMultimodal data integrationPrecision medicineRisk stratificationTumor growth

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