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From static prediction to dynamic cancer trajectories: Virtual Human Twins for breast cancer decision support.

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Title: From static prediction to dynamic cancer trajectories: Virtual Human Twins for breast cancer decision support.
Authors: Tan YY; Department of Obstetrics and Gynecology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria., Janickova I; Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.; Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria.; Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria., Langs G; Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.; Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria.; Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Source: PLOS digital health [PLOS Digit Health] 2026 Jul 09; Vol. 5 (7), pp. e0001548. Date of Electronic Publication: 2026 Jul 09 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Tan+YY%22">Tan YY</searchLink>; Department of Obstetrics and Gynecology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Janickova+I%22">Janickova I</searchLink>; Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.; Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria.; Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Langs+G%22">Langs G</searchLink>; Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.; Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria.; Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
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  Data: <searchLink fieldCode="JN" term="%229918335064206676%22">PLOS digital health</searchLink> [PLOS Digit Health] 2026 Jul 09; Vol. 5 (7), pp. e0001548. <i>Date of Electronic Publication: </i>2026 Jul 09 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22PLOS%22">PLOS </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9918335064206676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2767-3170 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2227673170%22">27673170 </searchLink><i>NLM ISO Abbreviation: </i>PLOS Digit Health <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1371/journal.pdig.0001548
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        Text: English
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      – TitleFull: From static prediction to dynamic cancer trajectories: Virtual Human Twins for breast cancer decision support.
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              Text: 2026 Jul 09
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              Y: 2026
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