未来医学:从分子途径到身体的集体智能
1McGowan Institute for Regenerative Medicine and Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
生物是可重编程的系统,利用集体智能进行自我修复. 这种结合生物电力和神经科学的方法,通过将组织视为目标导向实体,提供了新的生物医学解决方案.
科学领域:
- 生物医学工程 生物医学工程
- 系统生物学 系统生物学
- 神经科学是一个神经科学.
背景情况:
- 复杂的生物体表现出了显著的解剖学平衡,这表明它们具有固有的信息处理能力.
- 生物形式具有多层次能力,可以用于新的生物医学应用.
- 组织水平全静态目标定向的概念正在成为一个临床上相关的原则.
研究的目的:
- 探索将生物视觉视为可重编程信息处理系统的潜力.
- 概述一个路线图"体质精神病学"利用生物电和神经科学.
- 通过利用组织和器官的集体智能来确定新的治疗策略.
主要方法:
- 审查有关解剖学平衡和多尺度生物能力的现有数据.
- 将组织和器官概念化为能够自我修复的目标导向系统.
- 整合生物电力,行为神经科学,网络学和发育生物学方面的进展.
主要成果:
- 确定一种新的生物医学途径,利用组织和器官的先天集体智能.
- 证明组织层面的静态目标定向已经产生了临床效益.
- 提出诱导生物结构和功能自我修复的方法.
结论:
- 重新思考静态细胞控制机制为创新的生物医学解决方案开辟了道路.
- 利用来自网络学,行为科学和发育生物学的概念可以解决当前的生物医学挑战.
- 生物系统的可编程性为再生医学和精神病学提供了一个有希望的前沿.
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