Suppr超能文献

身体的多尺度智慧:集体智能作为下一代生物医学的可处理接口

The Multiscale Wisdom of the Body: Collective Intelligence as a Tractable Interface for Next-Generation Biomedicine.

作者信息

Levin Michael

机构信息

Biology Department, Allen Discovery Center at Tufts University, Medford, Massachusetts, USA.

Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA.

出版信息

Bioessays. 2025 Mar;47(3):e202400196. doi: 10.1002/bies.202400196. Epub 2024 Dec 2.

Abstract

The dominant paradigm in biomedicine focuses on genetically-specified components of cells and their biochemical dynamics, emphasizing bottom-up emergence of complexity. Here, I explore the biomedical implications of a complementary emerging field: diverse intelligence. Using tools from behavioral science and multiscale neuroscience, we can study development, regenerative repair, and cancer suppression as behaviors of a collective intelligence of cells navigating the spaces of possible morphologies and transcriptional and physiological states. A focus on the competencies of living material-from molecular to organismal scales-reveals a new landscape for interventions. Such top-down approaches take advantage of the memories and homeodynamic goal-seeking behavior of cells and tissues, offering the same massive advantages in biomedicine and bioengineering that reprogrammable hardware has provided information technologies. The bioelectric networks that bind individual cells toward large-scale anatomical goals are an especially tractable interface to organ-level plasticity, and tools to modulate them already exist. This suggests a research program to understand and tame the software of life for therapeutic gain by understanding the many examples of basal cognition that operate throughout living bodies.

摘要

生物医学的主流范式聚焦于细胞的基因指定成分及其生化动力学,强调自下而上产生的复杂性。在此,我探讨一个互补性新兴领域的生物医学意义:多样智能。运用行为科学和多尺度神经科学的工具,我们可以将发育、再生修复和癌症抑制研究为细胞集体智能在可能的形态、转录和生理状态空间中导航的行为。关注从分子到生物体尺度的生物材料能力,揭示了一个新的干预领域。这种自上而下的方法利用了细胞和组织的记忆以及动态目标寻求行为,在生物医学和生物工程中提供了与可重新编程硬件为信息技术带来的同样巨大的优势。将单个细胞导向大规模解剖学目标的生物电网络是通向器官水平可塑性的特别易于处理的界面,并且已经存在调节它们的工具。这表明了一个研究计划,即通过理解贯穿生物体运作的许多基础认知实例,来理解并驾驭生命的软件以实现治疗收益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a23a/11848127/feb949848fad/BIES-47-e202400196-g007.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验