医学跨学科的新方向——工程医学
New Orientation of Interdisciplinarity in Medicine: Engineering Medicine
人类历史的发展轨迹以与疾病的持续抗争为特征。随着时间的推移,医学领域已从神秘的巫医和草药疗法转变为一个复杂的当代医学体系,包括基础医学与健康科学、临床医学和公共卫生。然而,当前的医学发展面临着重大挑战,特别是在将基础研究成果有效转化为临床和公共卫生实践应用方面。科学家越来越多地与临床专家合作,通过深入研究基本机制来克服这些障碍并解决特定的临床问题。这种合作创造了一个新的跨学科领域——工程医学(EngMed),专注于通过整合多学科来满足临床和公共卫生需求。本文讨论了工程医学的定义、关键任务、重要性、教育意义以及未来趋势。
The trajectory of human history is characterized by a persistent battle against disease. Over time, the field of medicine has transitioned from enigmatic witch doctors and herbal remedies to a sophisticated realm of contemporary medicine that includes fundamental medical and health sciences, clinical medicine, and public health. Nevertheless, the present phase of medical advancement encounters significant challenges, particularly in effectively translating basic research findings into practical applications in clinical and public health settings. Scientists increasingly collaborate with clinical experts to overcome these obstacles and address specific clinical issues by delving deeper into fundamental mechanisms. This collaborative effort has created a new interdisciplinary field: engineering medicine (EngMed), which focuses on addressing clinical and public health needs by integrating various scientific disciplines. This article discusses the definition, key tasks, significance, educational implications, and future trends in EngMed.
Engineering medicine / Life sciences / Interdisciplinary medicine / Medical theranostics
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
Writing Comm Report Cardiovasc Hlt. Report on cardiovascular health and diseases in China 2019: an updated summary. Biomed Environ Sci 2022;35(7):573‒603. |
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
TosoJF,GillVJ,HwuP, |
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
MoorM, BanerjeeO, AbadZSH, KrumholzHM, LeskovecJ, TopolEJ, et al. Foundation models for generalist medical artificial intelligence. Nature 2023;616(7956):259‒65. . 10.1038/s41586-023-05881-4 |
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
|
| [66] |
|
| [67] |
|
| [68] |
|
| [69] |
|
| [70] |
|
| [71] |
|
| [72] |
|
| [73] |
|
| [74] |
|
| [75] |
|
/
| 〈 |
|
〉 |