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Viewpoints and Perspectives (1389) Clinical Informatics (2247) Artificial Intelligence (4735) Precision Medicine (434)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72411, first published .
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Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint

Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint

Authors of this article:

Alexandre Vallée1 Author Orcid Image
Article Authors Cited by (54) Tweetations Metrics

Journals

  1. Vallée A, Feki A, Moawad G, Ayoubi J. A semi-mechanistic mathematical framework for simulating multi-hormone dynamics in reproductive endocrinology. Computational and Structural Biotechnology Journal 2025;27:3654 View
  2. Gillgallon R, Bergami G, Morgan G. Federated Load Balancing in Smart Cities: A 6G, Cloud, and Agentic AI Perspective. Applied Sciences 2025;15(20):10920 View
  3. Zhang W, Lin H, Luan M, Wei P, Han Y. Digital vessel for the diagnosis of cardiovascular diseases. Vessel Plus 2025 View
  4. Piechowiak M, Goch A, Panas E, Masiak J, Mikołajewski D, Rojek I, Mikołajewska E. The Global Importance of Machine Learning-Based Wearables and Digital Twins for Rehabilitation: A Review of Data Collection, Security, Edge Intelligence, Federated Learning, and Generative AI. Electronics 2025;14(23):4699 View
  5. Belančić A, Štimac I, Faour A, Gkrinia E. Digital twins: Unlocking comparative evidence that clinical research urgently needs. British Journal of Clinical Pharmacology 2025 View
  6. Shahrezaei A, Taherkhani S, Dashti L, Garmaroodi G, Nasirinezhad F. Herbal medicine meets machine learning: a systematic review of AI-powered innovation in chronic inflammation management. Discover Applied Sciences 2025;8(2) View
  7. Piechowiak M, Goch A, Panas E, Masiak J, Mikołajewski D, Rojek I, Mikołajewska E. From Local to Global Perspective in AI-Based Digital Twins in Healthcare. Applied Sciences 2025;16(1):83 View
  8. Olawade D, Owhonda R, Alabi J, Egbon E, Ayo Daniel R, Bello O. Digital twin paradigm in diabetes prediction and management. Diabetes Research and Clinical Practice 2026;231:113075 View
  9. Wunsch III D, Hier D. Large language models for neurology: a mini review. Frontiers in Digital Health 2026;7 View
  10. Pantu C, Breazu A, Oprea S, Serban M, Covache-Busuioc R, Munteanu O, Dobrin N, Costea D, Eva L. AI-Resolved Protein Energy Landscapes, Electrodynamics, and Fluidic Microcircuits as a Unified Framework for Predicting Neurodegeneration. International Journal of Molecular Sciences 2026;27(2):676 View
  11. Balamurugan J, Adeyeye S. Artificial Intelligence in Nutrigenomics: A Critical Review on Functional Food Insights and Personalized Nutrition Pathways. Journal of Human Nutrition and Dietetics 2026;39(1) View
  12. Gonçalves M, Barata P, Vale N. From Population-Based PBPK to Individualized Virtual Twins: Clinical Validation and Applications in Medicine. Journal of Clinical Medicine 2026;15(3):1210 View
  13. Keleş H, Keleş E. Hyper G-Matrix Pairs and Applications in Dentistry. PROOF 2025:94 View
  14. Sharma A, Kumar A, Pal R, Patel P, Jain A, Kurmi B. Regenerative and Stem Cell-Based Therapies for Arthritis: Harnessing Mesenchymal Stem Cells, Exosomes, and Bioengineered Scaffolds for Functional Joint Repair. Stem Cell Reviews and Reports 2026;22(4):1603 View
  15. Jia C, Zhu W, Yuan Y, Xie Q. How gut microbiota contribute to neuropsychiatric disorders: evidence from neuroimaging studies. Frontiers in Microbiology 2026;17 View
  16. Vallée A. Predicting Cardiovascular Events with Time-Lagged Inflammatory Dynamics: Stochastic Delay Modeling. Computational and Structural Biotechnology Journal 2026;35(1) View
  17. Verhees F, Wiest I, Kather J, Kambeitz J, Mikolas P. Blocking the Reflection: Milestones and Hurdles for Digital Twins in Mental Health. Pharmacopsychiatry 2026;59(03):117 View
  18. Duduveche A, Mohorea-Neata A, Badelita S. Review of Infections in Immunocompromised Travellers: Epidemiology, Infection Prevention and Management. Microorganisms 2026;14(3):721 View
  19. Saeedian Y, Wright C, Jansons P, Shen Y, Zhang Y, Maddison R. Digital twin technologies for supporting self-care in adults with diet-related chronic conditions: a systematic review. International Journal of Medical Informatics 2026;214:106404 View
  20. Theivendren P, Panneerselvam S, Kunjiappan S, Mani D, Parthasarathy A. Medical digital twin insights: Enhancing cancer treatment through generative modeling. Computational Biology and Chemistry 2026;124:109074 View
  21. Colwill M, Honap S, Young A, Magro F, Jairath V, Danese S, Peyrin-Biroulet L. Digital twins in IBD—bridging data, biology and trial innovation. Gut 2026;75(8):1607 View
  22. Ghiță A, Silberschmidt V, Ioniță M. Comparative Molecular Insights and Computational Modeling of Multiple Myeloma and Osteosarcoma. International Journal of Molecular Sciences 2026;27(8):3611 View
  23. Ding H, Fei Y, Lu Y, Ying J, He Y, Yao S. Multimodal data integration in orthopedic regenerative medicine: bridging imaging, omics, and clinical data. Frontiers in Cell and Developmental Biology 2026;14 View
  24. David-Olawade A, Olayinka M, Ogunbona M, Daniel R, Olawuyi O, Olasilola O. Personalised obstetric and gynaecological care through digital twin technology: Current applications and implementation challenges. Smart Health 2026;41:100664 View
  25. Salman S, Phadke R, Kumar R, Zaman N, Tavakkoli A. Digital twins and multimodal artificial intelligence in spine care: a scoping review of concepts, evidence, and translational barriers. Spine Deformity 2026 View
  26. Clement David-Olawade A, Abanishe R, Ogunbona M, Makanjuola B, Oluwadairo E, Olasilola O. Transforming healthcare through digital twin technology: Current evidence and emerging opportunities. Intelligent Hospital 2026;2(3):100077 View
  27. Vallée A, Feki A, Poulain M, Ayoubi J. A mechanistic digital twin of ovarian aging integrating follicular dynamics, mitochondrial decline, and lifestyle perturbations. Maturitas 2026;210:108977 View
  28. Li C, Zhang J, Tian G, Yang G, He X. The critical paradigm shifts for next-generation AI-empowered smart wearable devices. Smart Materials and Devices 2026 View
  29. Thongprayoon C, Pesce F, Cheungpasitporn W. Artificial Intelligence in Rare Diseases: Workflow-Integrated Precision Kidney Care. Clinics and Practice 2026;16(6):101 View
  30. Bae S, Kim Y, Lee M, Kim S, Park J. Digital Twin-Based Virtual Hospital Platform for IT Outage Disaster Response Training: Implementation and Evaluation Study (Preprint). JMIR Formative Research 2026 View
  31. Namasudra S, Datta S, Reddy M. A Blockchain-Enabled Consumer-Centric Digital Twin Framework With AI-Driven Predictive Analytics for Healthcare 5.0. IEEE Transactions on Consumer Electronics 2026;72(2):4145 View
  32. Wu H, Tang X, Wang W, Li R. The AI-powered orthopedic digital twin: a new paradigm for personalized diagnosis, surgical simulation, and prognostic management - a scoping review. Artificial Intelligence Surgery 2026;6(2):320 View
  33. Danter W. A Large Concept Model for Mechanistic Simulation of Disease Trajectories: A Hypothesis-Generating Exemplar for Pediatric Acute Lymphoblastic Leukemia. Computational and Structural Biotechnology Journal 2026;35(1) View
  34. Bertok T, Pankuchova I, Jane E, Batova Z, Tkac J. Artificial intelligence in diagnostic software: validation, safety, and lifecycle challenges in Europe. Clinica Chimica Acta 2027;592:121209 View
  35. Vallée A, Ayoubi J. Digital twins in menopause: a roadmap for integrating endocrine dynamics, multisystem physiology, and precision medicine. Maturitas 2026;211:109043 View
  36. Hua H, Chen Y, Yu T. Dynamic navigation-based precision cardiac rehabilitation via blood metabolomics: from risk stratification to real-time intervention optimization. Frontiers in Cardiovascular Medicine 2026;13 View
  37. van Zyl L. Positive psychology 4.0: a science of consequence for a world that can no longer wait. Frontiers in Psychology 2026;17 View
  38. Siddiqui R, Khan N. A One Health digital twin framework for leprosy: linking host, pathogen, and population dynamics. Wiener Medizinische Wochenschrift 2026 View
  39. Gramatikoff K, Judge E, Slater T, Milovic L, Minchev A, Karabaliev M. Digital Twins for Precision Medicine and Drug Discovery. The EuroBiotech Journal 2026;10(3):155 View
  40. Silva P, Tao J, Rogers S, He Q, Robert J, Black L, Bruce S, Shireman P, Ramos K. Data Stewardship Barriers to Building Digital Twin Technology for Precision Medicine. AI in Medicine 2026;1(3):20 View
  41. Laetitia Huët M, Bhaw-Luximon A. Beyond the parasite: reframing cutaneous leishmaniasis as a host-microbiome-vector ecosystem. International Journal of Pharmaceutics 2026;702:127250 View
  42. Vallée A. From digital twins to clinically trustworthy twins: a clinical-claim-based validation framework for personalized digital health. Frontiers in Digital Health 2026;8 View
  43. Vallée A. Validating medical digital twins for clinical decision support: beyond predictive accuracy. JAMIA Open 2026;9(4) View
  44. Hillis R, Johari N, Shirali M, Overton I. Data-intensive immune network modelling for One Health. Briefings in Bioinformatics 2026;27(4) View
  45. Chowdhary R, Iftequar Y, Anveshak F, Parikh A, Jindal K, Arora K, Chowdhary R. Digital twins in gastroenterology: From computational modeling to precision medicine and clinical translation. Artificial Intelligence in Gastroenterology 2026;7(2) View
  46. Olawade D, Dave M, Ojo A, Ogunbona M, Ogieuhi I. Digital twins in cardiology and cardiovascular disease management: a review. European Journal of Medical Research 2026;31(1) View
  47. Chowdhury S, Sarkar S, Das A. Digital twins and nanomedicine: Predictive modelling for clinical translation. Next Nanotechnology 2026;10:100688 View
  48. Russu E, Ilinca R, Popa L, Dumitriu A, Păunică S, Giurcăneanu C, Albu C. Toward Precision Oral Medicine in Pemphigus Vulgaris: A Conceptual AI Framework for Rituximab Response Prediction. Pharmaceuticals 2026;19(8):1292 View

Books/Policy Documents

  1. Guttmann-Flury E, Zhao J, Sawan M. Brain-Computer Interface - Bridging Technology, Education, and Ethics. View
  2. . The Foundation for Digital Twins. View
  3. Flores H, Dayrit G. Advances in Digital Human Modeling III. View
  4. Rehman K, Akash M. Smart Biosensing Technologies for Early Detection of Metabolic Disorders. View

Conference Proceedings

  1. Chaudhari A, Reddy K. 2026 6th International Conference on Image Processing and Capsule Networks (ICIPCN). AI-Powered Digital Twins: Revolutionizing Personalized Healthcare and Treatment Optimization View
  2. Zhang Y, Hashim H, Hu W. 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN). AI-Driven Therapeutic Robot Incorporating Amber-Based Contact Interfaces for Personalized Health Intervention View