Abstract
Computational medicine is an emerging discipline that uses computer models and complex software to simulate the development and treatment of diseases. Advances in computer hardware and software technology, especially the development of algorithms and graphics processing units (GPUs), have led to the broader application of computers in the medical field. Computer vision based on mathematical biological modelling will revolutionize clinical research and diagnosis, and promote the innovative development of Chinese medicine, some biological models have begun to play a practical role in various types of research. This paper introduces the concepts and characteristics of computational medicine and then reviews the developmental history of the field, including Digital Human in Chinese medicine. Additionally, this study introduces research progress in computational medicine around the world, lists some specific clinical applications of computational medicine, discusses the key problems and limitations of the research and the development and application of computational medicine, and ultimately looks forward to the developmental prospects, especially in the field of computational Chinese medicine.
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Zhao XY, Diao TX, Gao YH, Chen T, Kang D, Wang L. Interpretation and thinking of the American precision medicine program. Milit Med (Chin) 2015;39:241–244.
Wu HQ. Opportunities and challenges in the era of big data. Qiushi (Chin) 2013;20(4):47–49.
Tao XJ, Hu XF, Liu Y. Overview of big data research. J Syst Simul (Chin) 2013;25(S1):142–146.
Winslow RL, Trayanova N, Geman D, Miller MI. Computational medicine: translating models to clinical care. Sci Transl Med 2012;4:158rv11.
Li YP, Liu M. Evidence based medicine: clinical medicine in the 21st century. J Pract Med (Chin) 2000;16:517–520.
Yuan B. Towards state medicine: medical revolution initiated by precision medicine. Chin J Tradit Chin Med (Chin) 2017;32:1434–1448.
He JX, Sally LB, Xu J, Xu JM, Zhou XT, Zhang K. The practical implementation of artificial intelligence technologies in medicine. Nature Med 2019;25:30–36.
Goldsmith I, Evans PL, Goodrum H, Warbrick-Smith J, Bragg T. Chest wall reconstruction with an anatomically designed 3-D printed titanium ribs and hemi-sternum implant. 3D Print Med 2020;16(7):26.
Zhang SW. Who can handle big data can “carry the banner”—computational medicine is ready to emerge. Sci News (Chin) 2019;21(6):31–32.
Wang ZH. Computational medicine: facing the challenge of big data and transforming into clinical practice. J Bengbu Med Coll (Chin) 2014;39:1–2.
Lang YQ. Computational medicine: from model to clinical. Sci Res Inf Technol Appl (Chin) 2012;3(6):91–92.
Xiao F. Thinking from evidence-based medicine to precision medicine. Chin J Nephrol (Chin) 2014;3:123–128.
Mei T, Zhang Y, Hu S, Yang HM, Zhou Y. Construction of precision medicine system and its challenges. Chin Digit Med (Chin) 2016;11:44–48.
Ikopoulos P, Eaton C, eds. Understanding big data: analytics for enterprise class hadoop and streaming data. New York: McGraw-Hill Osborne Media; 2011.
Gautlieri M. Big data in 2013: what to expect. Inf Manag J 2013;47(2):20.
Qian K. Research on the application of data mining technology in medical big data. Indust Sci Technol Inninnov (Chin) 2020;2(10):56–58.
Fang SB, Yang B. Research status and prospect of digital human. Guangdong Med J (Chin) 2013;34:2585–2587.
Zhong SZ, ed. Digital human and digital anatomy. Jinan: Shandong Science and Technology Press; 2004.
Lu YH, Ma XT, Zhang HX. Computational Chinese medicine and digital human body research. Dongguan: Proceedings of the National Symposium on Methodology of Traditional Chinese Medicine; 2008:89–92.
Shea KG, Grimm NL, Nichols FR, Jacobs JC Jr. Volumetric damage to the femoral physis during double-bundle posterio cruciate ligament reconstruction: a magnetic resonance imaging computer modeling study. Arthroscopy 2015;31:1102–1107.
Abdollahi S, Markvicka EJ, Majidi C, Feinberg AW. 3D printing silicone elastomer for patient-specific wearable pulse oximeter. Adv Healthcare Mater 2020;9:e1901735.
Zhu YI, Miller DL, Dou CY, Kripfgans OD. Characterization of macrolesions induced by myocardial cavitation-enabled therapy. IEEE Transact Biomed Eng 2015;62:717–727.
Lee JY, Bogyu C, Benjamin W, Min L. Customized biomimetic scaffolds created by indirect three-dimensional printingn for tissue engineering. Biofabrication 2013;5:045003.
Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nature Med 2019;25:44–56.
Ngiam KY, Khor IW. Machine learning algorithms for health-care delivery [published correction appears in Lancet Oncol 2019;20:293]. Lancet Oncol 2019;20:e262–e273.
Deo RC. Machine learning in medicine: will this time be different? Circulation 2020;142:1521–1523.
Miao FF, Liu JF. Development of artificial intelligence and its application prospect in medical field. Soft Sci Health 2009;23:222–224.
Handelman GS, Kok HK, Chandra RV, Razavi AH, Lee MJ, Asadi H. eDoctor: machine learning and the future of medicine. J Intern Med 2018;284:603–619.
Barrs RW, Jia J, Silver SE, Yost M, Mei Y. Biomaterials for bioprinting microvasculature. Chem Rev 2020;120:10887–10949.
Guo Y, Ren X, Chen YX, Wang TJ. Artificial intelligence meets Chinese medicine. Chin J Integr Med 2019;25:648–653.
Ferraro NM, Strober BJ, Einson J, Abell NS, Aguet F, Barbeira AN, et al. Transcriptomic signatures across human tissues identify functional rare genetic variation. Science 2020;369:eaaz5900.
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Lyu LQ and Cui HY contributed equally to this work. They contributed to the central idea, analyzed most of the data and wrote the initial draft of the paper. Shao MY made key modifications to the important knowledge contents. The remaining authors contributed to refining the ideas, carrying out additional analyses and finalizing this paper. All authors agree to be responsible for all aspects of the work to ensure that the accuracy and integrity of any part of the work are properly investigated and solved.
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Supported by Construction Project of Characteristic Backbone Discipline of Traditional Chinese Medicine in Henan Province, China (No. STG-ZYXKY-2020011)
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Lyu, Lq., Cui, Hy., Shao, My. et al. Computational Medicine: Past, Present and Future. Chin. J. Integr. Med. 28, 453–462 (2022). https://doi.org/10.1007/s11655-021-3453-z
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DOI: https://doi.org/10.1007/s11655-021-3453-z