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Research News


Globally Inclusive Brain Models Achieve Robust Accuracy Across Diverse Ethnoracial Groups
Writter: Ruiyang Ge (PhD, University of British Columbia) A new study has provided important evidence that brain-imaging-based models can work reliably across ethnoracially diverse populations without requiring separate race-specific training. The findings address a long-standing concern in neuroscience and artificial intelligence about whether brain-based tools developed from large datasets can generalize across different populations. Normative brain models are increasingly
Ruiyang Ge
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Advancement in Brain-Age Estimation: The Largest Study on Brain Age Models Across the Human Lifespan
Writter: Ruiyang Ge (PhD, University of British Columbia) The ENIGMA Lifespan Working Group is excited to share their latest work in...


Structural Brain Pattern Abnormalities in 22q11.2 Deletion Syndrome
Writter: Ruiyang Ge (PhD, University of British Columbia) 22q11.2 deletion syndrome (22q11DS) stands as the most prevalent microdeletion...
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