REFERENCES
1. Zhou X, Yu L, Zhao Y, Ge J. Panvascular medicine: an emerging discipline focusing on atherosclerotic diseases. Eur Heart J. 2022;43:4528-31.
2. Guo W, Yi X. Advancements and future prospects in the study of panvascular disease. Clin Hemorheol Microcirc. 2025;89:198-204.
3. Hu Y, Zhao Y, Dai N, Lu H, Ge J. Unwavering excellence: how to be a competent cardiovascular doctor in “panvascular medicine +”. Innovation. 2023;4:100489.
4. Hu Y, Zhao Y, Li P, Lu H, Li H, Ge J. Hypoxia and panvascular diseases: exploring the role of hypoxia-inducible factors in vascular smooth muscle cells under panvascular pathologies. Sci Bull. 2023;68:1954-74.
5. Hu Y, Zhou Y, Dai N, et al. Enhancing panvascular medicine: unveiling the nexus of pan-cardio-oncology and expanding therapeutic frontiers. Sci Bull. 2025;70:798-800.
6. Yousefi B, Khansari M, Trask R, et al. Measuring subtle HD data representation and multimodal imaging phenotype embedding for precision medicine. IEEE Trans Instrum Meas. 2025;74:4503911.
7. Nam Y, Kim J, Jung SH, et al. Harnessing artificial intelligence in multimodal omics data integration: paving the path for the next frontier in precision medicine. Annu Rev Biomed Data Sci. 2024;7:225-50.
8. Ran X, Shi J, Chen Y, Jiang K. Multimodal neuroimage data fusion based on multikernel learning in personalized medicine. Front Pharmacol. 2022;13:947657.
9. Glynn P, Greenland P. Contributions of the UK biobank high impact papers in the era of precision medicine. Eur J Epidemiol. 2020;35:5-10.
10. Arai H, Okamura N, Furukawa K, Kudo Y. Geriatric medicine, Japanese Alzheimer’s disease neuroimaging initiative and biomarker development. Tohoku J Exp Med. 2010;221:87-95.
11. Huang R, Kartsonaki C, Turnbull I, et al. Incidence and mortality rates of 14 site-specific infectious diseases in 10 diverse areas of China: findings from China Kadoorie Biobank, 2006-2018. Int J Infect Dis. 2024;147:107169.
12. Braunack-Mayer A, Carolan L, Street J, Ha T, Fabrianesi B, Carter S. Ethical issues in big data: a qualitative study comparing responses in the health and higher education sectors. PLoS ONE. 2023;18:e0282285.
13. Al-Ani A, Rayyan A, Maswadeh A, et al. Evaluating the understanding of the ethical and moral challenges of big data and AI among Jordanian medical students, physicians in training, and senior practitioners: a cross-sectional study. BMC Med Ethics. 2024;25:18.
14. Rijken L, Zwetsloot S, Smorenburg S, et al. Developing trustworthy artificial intelligence models to predict vascular disease progression: the VASCUL-AID-RETRO study protocol. J Endovasc Ther. 2025:15266028251313963.
15. Sinitca AM, Lyanova AI, Kaplun DI, et al. Microscopy image dataset for deep learning-based quantitative assessment of pulmonary vascular changes. Sci Data. 2024;11:635.
16. Lee GY, Choi YH, Kim D, et al. Deep learning analysis of white matter hyperintensity and its association with comprehensive vascular factors in two large general populations. J Imaging Inform Med. 2025;38:2761-78.
17. Skovbo JS, Obel LM, Lindholt JS. Artificial intelligence in vascular surgery: bridging technology and clinical practice. J Vasc Surg. 2025;81:1232-3.
18. Ranisch R, Haltaufderheide J. Foundation models in medicine are a social experiment: time for an ethical framework. NPJ Digit Med. 2025;8:525.
19. Khan W, Leem S, See KB, Wong JK, Zhang S, Fang R. A comprehensive survey of foundation models in medicine. IEEE Rev Biomed Eng. 2026;19:283-304.
20. Alsaedi S, Gao X, Gojobori T. Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine. FEBS Open Bio. 2025;15:1192-208.
21. Silva-Rodríguez J, Dolz J, Ben Ayed I. Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation. Med Image Anal. 2025;103:103596.
22. Ramprasad P, Pai N, Pan W. Enhancing personalized gene expression prediction from DNA sequences using genomic foundation models. HGG Adv. 2024;5:100347.
23. Laleci Erturkmen GB, Yuksel M, Sarigul B, Lilja M, Chen R, Arvanitis TN. Personalised care plan management utilizing guideline-driven clinical decision support systems. Stud Health Technol Inform. 2018;247:750-754.
24. Harrisson S, Myers H, Wynne-Jones G, et al. Clinical and cost-effectiveness of a personalised guided consultation versus usual physiotherapy care in people presenting with shoulder pain: a protocol for the PANDA-S cluster randomised controlled trial and process evaluation. BMJ Open. 2025;15:e100501.
25. Guan G, Michel K, Corke C, Ranmuthugala G. A clinical prediction model for personalised emergency department discharge decisions for residential care facility residents post-fall. J Pers Med. 2025;15::332.
26. Yuan Z, Zhang S, Zhang H, Xie P, Jia Y. Optimized drug-drug interaction extraction with BioGPT and focal loss-based attention. IEEE J Biomed Health Inform. 2025;29:4560-70.
27. Luo R, Sun L, Xia Y, et al. BioGPT: generative pre-trained transformer for biomedical text generation and mining. Brief Bioinform. 2022;23::bbac409.
