Research graph
References from Digital Twins in Oncology: From Multimodal Data Integration to Precision Clinical Practice. Local targets link to admitted publications; unresolved targets remain external evidence.
Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
2021 · External reference
Precision oncology: who, how, what, when, and when not?
10.1200/edbk_174176 · 2017 · External reference
Unresolved reference
2017 · External reference
Radiomics: the bridge between medical imaging and personalized medicine
10.1038/nrclinonc.2017.141 · 2017 · External reference
Radiomics: images are more than pictures, they are data
10.1148/radiol.2015151169 · 2016 · External reference
Digital twins in medicine
10.1038/s43588-024-00607-6 · 2024 · External reference
The Image Biomarker Standardization Initiative: standardized quantitative radiomics for high-throughput image-based phenotyping
10.1148/radiol.2020191145 · 2020 · External reference
Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non-small cell lung cancer
10.1158/2326-6066.cir-19-0476 · 2020 · External reference
Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer
10.1038/s41598-021-98408-8 · 2021 · External reference
A review of cell-based computational modeling in cancer biology
10.1200/cci.18.00069 · 2019 · External reference
Translating preclinical MRI methods to clinical oncology
10.1002/jmri.26731 · 2019 · External reference
MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens
10.1038/s41746-025-01579-1 · 2025 · External reference
Agent-based modeling of tumor and immune system interactions in combinational therapy with low-dose 5-fluorouracil and dendritic cell vaccine in melanoma B16F10
2022 · External reference
Transcriptomics and solid tumors: The next frontier in precision cancer medicine
10.1016/j.semcancer.2020.09.007 · 2022 · External reference
CPIC: Clinical Pharmacogenetics Implementation Consortium of the Pharmacogenomics Research Network
10.1038/clpt.2010.279 · 2011 · External reference
The future of digital health with federated learning
10.1038/s41746-020-00323-1 · 2020 · External reference
Federated learning enables big data for rare cancer boundary detection
10.1038/s41467-022-33407-5 · 2022 · External reference
Large language models encode clinical knowledge
10.1038/s41586-023-06291-2 · 2023 · External reference
Toward a common coordinate framework for the human body
10.1016/j.cell.2019.11.019 · 2019 · External reference
Deep learning with multimodal representation for pancancer prognosis prediction
10.1093/bioinformatics/btz342 · 2019 · External reference
DrugBank 5.0: a major update to the DrugBank database for 2018
10.1093/nar/gkx1037 · 2018 · External reference
Digital twins in personalized medicine: bridging innovation and clinical reality
10.3390/jpm15110503 · 2025 · External reference
Artificial intelligence for RECIST-based radiologic treatment response assessment in solid tumors: a systematic review of imaging- and report-derived approaches
10.3390/cancers18050808 · 2026 · External reference
Reinforcement learning for medical image analysis: a systematic review of algorithms, engineering challenges, and clinical deployment
10.1080/24699322.2025.2597553 · 2026 · External reference
Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study
10.1016/s1470-2045(08)70153-0 · 2008 · External reference
Radiomics analysis for evaluation of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
10.1158/1078-0432.ccr-17-1038 · 2017 · External reference
MRI of rectal cancer: tumor staging, imaging techniques, and management
10.1148/rg.2019180114 · 2019 · External reference
MRI-based digital models forecast patient-specific treatment responses to neoadjuvant chemotherapy in triple-negative breast cancer
10.1158/0008-5472.can-22-1329 · 2022 · External reference
Optimal treatment selection in sequential systemic and locoregional therapy of oropharyngeal squamous carcinomas: deep Q-learning with a patient-physician digital twin dyad
10.2196/29455 · 2022 · External reference
Personalized detection of circulating tumor DNA antedates breast cancer metastatic recurrence
10.1158/1078-0432.ccr-18-3663 · 2019 · External reference
Detecting liquid remnants of solid tumors: circulating tumor DNA minimal residual disease
10.1158/2159-8290.cd-21-0634 · 2021 · External reference
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
10.3389/frai.2023.1222612 · 2023 · External reference
Analysis of immune signatures in longitudinal tumor samples yields insight into biomarkers of response and mechanisms of resistance to immune checkpoint blockade
10.1158/2159-8290.cd-15-1545 · 2016 · External reference
Repeatability and reproducibility of radiomic features: a systematic review
10.1016/j.ijrobp.2018.05.053 · 2018 · External reference
Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests
10.1136/bmj.i6 · 2016 · External reference
Prediction models need appropriate internal, internal-external, and external validation
10.1016/j.jclinepi.2015.04.005 · 2016 · External reference
Adaptive randomization of neratinib in early breast cancer
10.1056/nejmoa1513750 · 2016 · External reference
Dissecting racial bias in an algorithm used to manage the health of populations
10.1126/science.aax2342 · 2019 · External reference
Real-world deployment of a fine-tuned pathology foundation model for lung cancer biomarker detection
10.1038/s41591-025-03780-x · 2025 · External reference
Foundation model for cancer imaging biomarkers
10.1038/s42256-024-00807-9 · 2024 · External reference
Feasibility of using wearables for home monitoring during radiotherapy for head and neck cancer—results from the OncoWatch 1.0 study
10.3390/cancers15020422 · 2023 · External reference
10.1038/s41592-020-01008-z · 2021 · Admitted local publication
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): a guide for authors and reviewers
10.1148/ryai.2020200029 · 2020 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Quantifying uncertainty in deep learning of radiologic images
10.1148/radiol.222217 · 2023 · External reference
