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Paradigm shift required for translational research on the brain.

Jong Hyuk YoonDongha LeeChany LeeEunji ChoSeulah LeeAmaury Cazenave-GassiotKipom KimSehyun ChaeEdward A DennisPann-Ghill Suh
Published in: Experimental & molecular medicine (2024)
Biomedical research on the brain has led to many discoveries and developments, such as understanding human consciousness and the mind and overcoming brain diseases. However, historical biomedical research on the brain has unique characteristics that differ from those of conventional biomedical research. For example, there are different scientific interpretations due to the high complexity of the brain and insufficient intercommunication between researchers of different disciplines owing to the limited conceptual and technical overlap of distinct backgrounds. Therefore, the development of biomedical research on the brain has been slower than that in other areas. Brain biomedical research has recently undergone a paradigm shift, and conducting patient-centered, large-scale brain biomedical research has become possible using emerging high-throughput analysis tools. Neuroimaging, multiomics, and artificial intelligence technology are the main drivers of this new approach, foreshadowing dramatic advances in translational research. In addition, emerging interdisciplinary cooperative studies provide insights into how unresolved questions in biomedicine can be addressed. This review presents the in-depth aspects of conventional biomedical research and discusses the future of biomedical research on the brain.
Keyphrases
  • white matter
  • resting state
  • artificial intelligence
  • cerebral ischemia
  • high throughput
  • endothelial cells
  • machine learning
  • multiple sclerosis
  • big data
  • subarachnoid hemorrhage
  • blood brain barrier