Engineering Neural Organoids: Technological Advances and Translational Frontiers

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ID: 321654
2026
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Abstract
Neural organoids have transformed experimental neuroscience by enabling human-specific models of brain development, function, and disease. Emerging at the intersection of stem cell biology and tissue engineering, these self-organizing systems recapitulate key aspects of neurogenesis, gliogenesis, and circuit formation within a controllable in vitro context. Advances in guided patterning, vascularization, and electrophysiological monitoring have enhanced structural and functional fidelity, enabling the study of dynamic processes previously inaccessible in human models. Beyond developmental biology, neural organoids have broad translational applications, including modeling neurodevelopmental and neurodegenerative disorders, screening pharmacological compounds, and testing regenerative strategies. Integration with microfluidics, bioelectronic interfaces, and computational modeling further expands their analytical capacity, transforming organoids into modular and quantifiable platforms for mechanistic and therapeutic discovery. Despite this progress, key challenges remain, including limited maturation, inter-organoid variability, and incomplete physiological integration. Addressing these limitations requires standardized differentiation protocols, robust functional benchmarks, and cross-disciplinary collaboration. The goal is not to replicate the brain in miniature, but to reconstruct its organizing principles in an experimentally accessible system. From this perspective, neural organoids serve as a bridge between biology and technology, offering new insights into human neural complexity while advancing neuroscience and medicine.
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openalex_W7169817261 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sungmin Kim, Hye-Ju Jo, Sung‐Hwan Moon
Journal stem cells international
Year 2026
DOI
10.1093/stmcls/sxag041
URL
https://doi.org/10.1093/stmcls/sxag041
Keywords Keywords not found

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