4.6 Article

Interfacing brain organoids with precision medicine and machine learning

Journal

CELL REPORTS PHYSICAL SCIENCE
Volume 3, Issue 7, Pages -

Publisher

CELL PRESS
DOI: 10.1016/j.xcrp.2022.100974

Keywords

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Funding

  1. National Natural Science Foundation of China [61971255, 82111530212]
  2. Natural Science Foundation of Guang- dong Province [2021B1515020092]
  3. Shenzhen Science and Technology Innovation Commission [WDZC20200821141349001, RCYX20200714114736146, KCXFZ20201221173207022, KCXFZ202002011 01050887]
  4. Shenzhen Bay Laboratory Fund [SZBL20200 90501014]

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Brain organoid modeling is an advanced technique for studying brain development, physiology, function, and disease occurrence, with potential for therapy and healthcare management, and establishing communication between human brains and engineered computing machinery.
The brain is a complex organ that plays a central role in human activities. Brain organoid modeling is an advanced technique for studying brain development, physiology, function, and disease occurrence; the technique may provide opportunities for therapy and healthcare management and establish the crosstalk between human brains and engineered computing machinery. Brain organo-ids are expected to contain both histological and physiological information and possess the responsive characteristics toward perturbation of their brain counterparts. Though it is in early stages of development, the convergence of machine learning and brain or-ganoid modeling holds enormous potential to broaden the capacity of either technique; enables information acquisition, processing, and optimizing for organoid establishment and maintenance in vitro; and may open new facets of implementation of precision medicine and healthcare engineering for brain health and diseases.

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