论医疗人工智能的未来:自主修复
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摘要
现阶段人工智能医疗网络的开发和应用已初具规模,但主要运用于提升医疗的便利性,并未从根本上改变医疗的实质技术。面对"不治之症"的挑战,关于机体与生俱来的"自主修复"潜能的激发,或将在人工智能的协助下成为现实。本文从医疗网络壁垒、中医与"自主修复"、CRISPR与干细胞研究进展及未来医疗与人工智能技术的碰撞4个方面展开,探讨医疗人工智能"自主修复"的发展趋势。
At present, the development and application of artificial intelligence medical network has begun to take shape, but it is mainly used to improve the convenience of medical care, and has not fundamentally changed the substantive technology of medical care. In the face of the challenge of "incurable disease", the inspiration of the body's inherent "self repair" potential will become a reality with the help of artificial intelligence. This article explored the development trend of medical artificial intelligence "self repair" from four aspects: medical network barriers, TCM and "self repair", research progress of CRISPR and stem cells, and future collisions between medical and artificial intelligence technology.
At present, the development and application of artificial intelligence medical network has begun to take shape, but it is mainly used to improve the convenience of medical care, and has not fundamentally changed the substantive technology of medical care. In the face of the challenge of "incurable disease", the inspiration of the body's inherent "self repair" potential will become a reality with the help of artificial intelligence. This article explored the development trend of medical artificial intelligence "self repair" from four aspects: medical network barriers, TCM and "self repair", research progress of CRISPR and stem cells, and future collisions between medical and artificial intelligence technology.
引文
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[2]支沛轩.浅述肿瘤精准医疗的研究进展[J].中国实用医药,2016,11(4):287-288.
[3] GIARDINI M A, SEGATTO M, Da SILVA M S, et al. Telomere and telomerase biology[J]. Prog Mol Biol Transl Sci,2014, 125:1.
[4] CHEUNG H H, LIU X, CANNTEREL-THOUENNON L, et al. Telomerase protects werner syndrome lineage-specific stem cells from premature aging[J]. Stem Cell Rep,2014, 2(4):534.
[5] LI J S, MIRALLES FUSTE J, SIMAVORIAN T, et al. TZAP:A telomere associated protein involved in telomere length control[J].Science,2017, 355(6325):638.
[6]马丽杰,陈贵林,聂丽莎,等.锁阳多糖对D-半乳糖衰老小鼠血细胞和脑细胞染色体端粒长度的影响[J].中国中药杂志,2009, 34(10):1257.
[7] YU W, QIN X, JIN Y, et al. Tianshengyuan-1(TSY-1)regulates cellular telomerase activity by methylation of TERT promoter[J].Oncotarget,2016, 8(5):7977-7988.
[8]李敏,金晶,叶新,等.黄连多糖抗蛋白质非酶糖基化活性初步研究[J].黑龙江大学自然科学学报,2014, 31(2):223-227.
[9]刘文艳,刘晓舒,韩健,等.复方中药组分抗糖尿病大鼠糖过氧化作用[J].中国老年学杂志,2013, 33(20):5026-5027.
[10] HO T T, WARR M R, ADELAMN E R, et al. Autophagy maintains the metabolism and function of young and old stem cells[J]. Nature,2017,543(7644):205.
[11]黄可,谢淑华,安宁,等.冬虫夏草通过抗氧化及抗衰老减轻糖尿病肾病大鼠肾小管损伤的研究[J].中国医学创新,2014, 11(22):15.
[12]王雪,方靖漪,杨静,等.人参三七川芎提取物对高糖高脂诱导的衰老血管内皮细胞自噬的影响[J].中国中医药信息杂志,2019, 26(4):52-56.
[13]李旗,田福玲,李继安.生肌玉红膏对大鼠糖尿病足溃疡RNA基因表达的影响[J].上海中医药大学学报,2013, 27(4):73-75.
[14]刘进中,马莉.生肌玉红膏对肛瘘术后创面愈合的影响[J].海南医学院学报,2016, 22(1):69-71.
[15]王平东.生肌玉红膏治疗糖尿病足溃疡48例报道[J].中国中西医结合外科杂志,2012,18(3):299-300.
[16]常振仪,严维,刘东风,等.CRISPR/Cas技术研究进展[J].农业生物技术学报,2015, 23(9):1196-1206.
[17] ABUDAYYEH O O, GOOTENBERG J S, KONERMAN S, et al. C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPReffector[J]. Science,2016,353(6299):aaf5573.
[18] AARON A S, DAVID B T C, NEENA K P, et al. Cas13b is a type VI-B CRISPR-associated RNA-guided RNase differentially regulated by accessory proteins Csx27 and Csx28[J]. Molecular Cell,2017,65(4):618.
[19] SLAYMAKER I M, GAO L, ZETSCHE B, et al. Rationally engineered Cas9 nucleases with improved specificity[J]. Science, 2016, 351:84.
[20]田胜男,王博,李琦,等.诱导多能干细胞的安全性及应用研究进展[J].中国组织工程研究,2017, 21(5):815-820.
[21] CHOI Y J, LIN C P, RISSO D, et al. Deficiency of microRNA miR-34a expands cell fate potential in pluripotent stem cells[J/OL].Science,2017,355(6325):DOI:10.1126 6/science.aag1927.(2017-02-10)[2018-10-03].https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138252/.
[22]杏脉科技MG[DB/OL].(2018-09-19)[2018-10-03]. http://www.fisual.cn/proxima.
[23] HENK M D F, KEVIN L B, ZANCHARY A C, et al. Deuterium metabolic imaging(DMI)for MRI-based 3D mapping of metabolism in vivo[J/OL].Science Advances,2018,4(8):DOI:10.1126/sciadv.aat7314.(2018-08-22)[2018-10-03].https://advances.sciencemag. org/content/4/8/eaat7314/tab-pdf.
[24] RAJPURKAR P, IRVIN J, BAGUL A, et al. MURA:Large dataset for abnormality detection in musculoskeletal radiographs[J]. Medical Physics, 2017, 4:1712.