arXiv Machine Learning June 5, 2026 By Krishnakumar Vaithianathan (for the Alzheimer's Disease Neuroimaging Initiative)

Cross-scale spatially-aware generative modeling of transcriptomic programs underlying neurodegenerative brain organization

Read the original on arXiv Machine Learning →

arXiv:2606. 05870v1 Announce Type: cross Abstract: Neurodegenerative disorders such as Alzheimer's disease exhibit highly organized patterns of regional brain vulnerability, yet the biological mechanisms underlying this spatial selectivity remain incompletely understood.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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Resolving superposition in AI for interpretability and cross-modal alignment in patient-neuronal images

A Fast Screening Approach for High-dimensional Outcomes and High-dimensional Predictors

HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data

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