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A novel MRI analysis pipeline leveraging supervertex-based vision transformers boosts Alzheimer's detection accuracy and reduces vendor-specific signal variability, potentially enabling earlier and more reliable diagnosis.
Synthesizing realistic, time-specific brain MRIs that reflect individual Alzheimer's progression is now possible by conditioning a diffusion transformer on detailed clinical text prompts.
