A new cross-modal deep learning model, scBIT, pairs single-cell gene expression with fMRI to improve Alzheimer's diagnostic accuracy, though the reported gains may be inflated by target-label leakage.
In our study, we utilized multiple datasets to provide a comprehensive analysis of AD
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scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis
A new cross-modal deep learning model, scBIT, pairs single-cell gene expression with fMRI to improve Alzheimer's diagnostic accuracy, though the reported gains may be inflated by target-label leakage.