{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Shen S"],"funding":["2022 Zhejiang Province First-Class Undergraduate Courses, Zhejiang Provincial Department of Education","Engineering Research Center of Nano-Geomaterials, Ministry of Education","Key Research Project for Laboratory Work in Zhejiang Province Colleges","Collaborative Innovation Center for Modern Science and Technology and Industrial Development of Jiangxi Traditional Medicine","the Medical and Health Technology Plan of Zhejiang Province"],"pagination":["348"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11921680"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["23(1)"],"pubmed_abstract":["<h4>Background</h4>As global cancer incidence and mortality rise, digital twin technology in precision medicine offers new opportunities for cancer treatment.<h4>Objective</h4>This study aims to systematically analyze the current applications, research trends, and challenges of digital twin technology in tumor therapy, while exploring future directions.<h4>Methods</h4>Relevant literature up to 2024 was retrieved from PubMed, Web of Science, and other databases. Data visualization was performed using R and VOSviewer software. The analysis includes the research initiation and trends, funding models, global research distribution, sample size analysis, and data processing and artificial intelligence applications. Furthermore, the study investigates the specific applications and effectiveness o"],"journal":["Journal of translational medicine"],"pubmed_title":["From virtual to reality: innovative practices of digital twins in tumor therapy."],"pmcid":["PMC11921680"],"funding_grant_id":["2022507615","ZD202202","2023ZX0950","No. 1133"],"pubmed_authors":["Yao J","Wang B","Jing L","Qi W","Shi Y","Liu X","Li S","Liang G","Zeng J","Cao S","Shen S","Zhu X","Dong C"],"additional_accession":[]},"is_claimable":false,"name":"From virtual to reality: innovative practices of digital twins in tumor therapy.","description":"<h4>Background</h4>As global cancer incidence and mortality rise, digital twin technology in precision medicine offers new opportunities for cancer treatment.<h4>Objective</h4>This study aims to systematically analyze the current applications, research trends, and challenges of digital twin technology in tumor therapy, while exploring future directions.<h4>Methods</h4>Relevant literature up to 2024 was retrieved from PubMed, Web of Science, and other databases. Data visualization was performed using R and VOSviewer software. The analysis includes the research initiation and trends, funding models, global research distribution, sample size analysis, and data processing and artificial intelligence applications. Furthermore, the study investigates the specific applications and effectiveness o","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Mar","modification":"2025-04-26T03:27:34.98Z","creation":"2025-04-06T10:49:12.394Z"},"accession":"S-EPMC11921680","cross_references":{"pubmed":["40108714"],"doi":["10.1186/s12967-025-06371-z"]}}