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Mathematical and Computational Nuclear Oncology: Toward Optimized Radiopharmaceutical Therapy via Digital Twins.

Type: article

Abstract: This article presents the general framework of theranostic digital twins (TDTs) in computational nuclear medicine, designed to support clinical decision-making and improve cancer patient prognosis through personalized radiopharmaceutical therapies (RPTs). It outlines potential clinical applications of TDTs and proposes a roadmap for successful implementation. Additionally, the article provides a conceptual overview of the current state of the art in the mathematical and computational modeling of RPTs, highlighting key challenges and the strategies being pursued to address them.

Source: Open Access CRIS of the University of Bern

DOI: 10.48620/92173

Authors: Ryhiner, Marc, Song, Yangmeihui, Saboury, Babak, Glatting, Gerhard, Rahmim, Arman, Shi, Kuangyu

Language: English

Topic: Radiopharmaceutical Chemistry and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7103894220

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