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Towards this goal, we aresharing the information presented at a symposium, \u201cNeuroimaging Indicators of Brain Structure and Function - Closing\u00a0the Gap Between Research and Clinical Application\u201d, co-hosted by the McCance Center for Brain Health at Mass General\u00a0Hospital and the MIT HST Neuroimaging Training Program on February 12, 2021. The symposium focused on the potential\u00a0for machine learning approaches, applied to increasingly large-scale neuroimaging datasets, to transform healthcare delivery\u00a0and change the trajectory of brain health by addressing brain care earlier in the lifespan. While not exhaustive, this overview\u00a0uniquely addresses many of the technical challenges from image formation, to analysis and visualization, to synthesis\u00a0and incorporation into the clinical workflow. Some of the ethical challenges inherent to this work are also explored, as are\u00a0some of the regulatory requirements for implementation. 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