Digital twin for personalized medicine development
Digital Twin (DT) technology is revolutionizing healthcare by enabling real-time monitoring, predictive analytics, and highly personalized medical care. As a key innovation of Industry 4.0, DTs integrate advanced tools like artificial intelligence (AI), the Internet of Things (IoT), and machine lear...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-08-01
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| Series: | Frontiers in Digital Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fdgth.2025.1583466/full |
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| author | Saniya Y. Saratkar Meher Langote Praveen Kumar Pradnyawant Gote Induni Nayodhara Weerarathna Gaurav V. Mishra |
| author_facet | Saniya Y. Saratkar Meher Langote Praveen Kumar Pradnyawant Gote Induni Nayodhara Weerarathna Gaurav V. Mishra |
| author_sort | Saniya Y. Saratkar |
| collection | DOAJ |
| description | Digital Twin (DT) technology is revolutionizing healthcare by enabling real-time monitoring, predictive analytics, and highly personalized medical care. As a key innovation of Industry 4.0, DTs integrate advanced tools like artificial intelligence (AI), the Internet of Things (IoT), and machine learning (ML) to create dynamic, data-driven replicas of patients. These digital replicas allow simulations of disease progression, optimize diagnostics, and personalize treatment plans based on individual genetic and lifestyle profiles. This review explores the evolution, architecture, and enabling technologies of DTs, focusing on their transformative applications in personalized medicine (PM). While the integration of DTs offers immense potential to improve outcomes and efficiency in healthcare, challenges such as data privacy, system interoperability, and ethical concerns must be addressed. The paper concludes by highlighting future directions, where AI, cloud computing, and blockchain are expected to play a pivotal role in overcoming these limitations and advancing precision medicine. |
| format | Article |
| id | doaj-art-d59b2be863f3428ca226f14e7f7222e7 |
| institution | Kabale University |
| issn | 2673-253X |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Digital Health |
| spelling | doaj-art-d59b2be863f3428ca226f14e7f7222e72025-08-20T03:41:00ZengFrontiers Media S.A.Frontiers in Digital Health2673-253X2025-08-01710.3389/fdgth.2025.15834661583466Digital twin for personalized medicine developmentSaniya Y. Saratkar0Meher Langote1Praveen Kumar2Pradnyawant Gote3Induni Nayodhara Weerarathna4Gaurav V. Mishra5Department of Artificial Intelligence and Data Science, Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research, Wardha, IndiaDepartment of Artificial Intelligence and Data Science, Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research, Wardha, IndiaDepartment of Computer Science Medical Engineering, Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research, Wardha, IndiaDepartment of Computer Science and Departments, Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research, Wardha, IndiaDepartment of Biomedical Sciences, Allied Health Sciences, Datta Meghe Institute of Higher Education and Research, Wardha, IndiaDepartment of Radiodiagnosis, Datta Meghe Institute of Higher Education and Research, Wardha, IndiaDigital Twin (DT) technology is revolutionizing healthcare by enabling real-time monitoring, predictive analytics, and highly personalized medical care. As a key innovation of Industry 4.0, DTs integrate advanced tools like artificial intelligence (AI), the Internet of Things (IoT), and machine learning (ML) to create dynamic, data-driven replicas of patients. These digital replicas allow simulations of disease progression, optimize diagnostics, and personalize treatment plans based on individual genetic and lifestyle profiles. This review explores the evolution, architecture, and enabling technologies of DTs, focusing on their transformative applications in personalized medicine (PM). While the integration of DTs offers immense potential to improve outcomes and efficiency in healthcare, challenges such as data privacy, system interoperability, and ethical concerns must be addressed. The paper concludes by highlighting future directions, where AI, cloud computing, and blockchain are expected to play a pivotal role in overcoming these limitations and advancing precision medicine.https://www.frontiersin.org/articles/10.3389/fdgth.2025.1583466/fulldigital twinpersonalized medicineartificial intelligencehealthcareinternet of things (IoT) |
| spellingShingle | Saniya Y. Saratkar Meher Langote Praveen Kumar Pradnyawant Gote Induni Nayodhara Weerarathna Gaurav V. Mishra Digital twin for personalized medicine development Frontiers in Digital Health digital twin personalized medicine artificial intelligence healthcare internet of things (IoT) |
| title | Digital twin for personalized medicine development |
| title_full | Digital twin for personalized medicine development |
| title_fullStr | Digital twin for personalized medicine development |
| title_full_unstemmed | Digital twin for personalized medicine development |
| title_short | Digital twin for personalized medicine development |
| title_sort | digital twin for personalized medicine development |
| topic | digital twin personalized medicine artificial intelligence healthcare internet of things (IoT) |
| url | https://www.frontiersin.org/articles/10.3389/fdgth.2025.1583466/full |
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