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Digital Twin Framework Enhances Adaptive Proton Therapy for Cancer

By PulseAugur Editorial · [1 sources] ·

Researchers have developed an uncertainty-guided digital twin (UGDT) framework to improve online adaptive proton therapy for head and neck cancer. This framework forecasts anatomical changes during the six-to-seven-week treatment period, enabling the generation of high-quality adaptive plans. The UGDT framework demonstrated its feasibility by producing plans comparable to physician-approved offline replans, with critical organ doses remaining within tolerance. AI

IMPACT This framework could lead to more precise and effective cancer treatments by enabling real-time adaptation to patient anatomy.

RANK_REASON The cluster contains a research paper detailing a new framework for medical treatment. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Digital Twin Framework Enhances Adaptive Proton Therapy for Cancer

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The cluster contains a research paper detailing a new framework for medical treatment. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yizhou Wu, Ryan J. Sanford, Huiqiao Xie, Jie Ding, Shupeng Chen, Tung-Ho Wu, Ping-Hsiu Wu, Justin Roper, Jun Zhou, Minglei Kang, Bill Stokes, Sibo Tian, David S. Yu, Xiaofeng Yang, Chih-Wei Chang ·

    An Uncertainty-Guided Digital Twin Framework for Online Adaptive Proton Therapy in Head and Neck Cancer: A Feasibility Study

    arXiv:2609.39010v1 Announce Type: cross Abstract: Objective: Head and neck (HN) proton therapy spans six to seven weeks of anatomical change, while offline replanning takes about a week. We present an uncertainty-guided digital twin (UGDT) framework that forecasts treatment-day a…

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