Digital Twins in Urological Oncology: Precise Treatment Planning via Complex Modeling.

IF 8.3 1区 医学 Q1 ONCOLOGY
Enrico Checcucci, Christoph Oing, Daniele Amparore, Francesco Porpiglia, Pasquale Rescigno
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引用次数: 0

Abstract

Digital twins can revolutionize personalized medicine by providing virtual simulations for optimized treatment planning and patient care. Digital twins can enhance precision in oncology and surgery, although challenges regarding data and model complexity necessitate ongoing multidisciplinary collaboration for effective implementation.

泌尿肿瘤学中的数字双胞胎:通过复杂建模进行精确治疗规划。
数字孪生可以为优化治疗规划和病人护理提供虚拟仿真,从而彻底改变个性化医疗。数字孪生可以提高肿瘤学和外科手术的精确度,但由于数据和模型复杂性方面的挑战,需要持续的多学科合作才能有效实施。
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来源期刊
CiteScore
15.50
自引率
2.40%
发文量
128
审稿时长
20 days
期刊介绍: Journal Name: European Urology Oncology Affiliation: Official Journal of the European Association of Urology Focus: First official publication of the EAU fully devoted to the study of genitourinary malignancies Aims to deliver high-quality research Content: Includes original articles, opinion piece editorials, and invited reviews Covers clinical, basic, and translational research Publication Frequency: Six times a year in electronic format
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