Using a foundation model to diagnose Alzheimer's disease from EEG data with LaBraM pretrained on 2,500 hours of EEG and a non-linear Random Forest classifier.
Read the original at arxiv.org→arXiv:2608.27719v1 Announce Type: new Abstract: Biological heterogeneity in Alzheimer's Disease (AD) poses a critical diagnostic challenge, particularly for traditional linear methods that fail to capture non-linear...
Original headline: "Leveraging a Foundation Model for the EEG-Based Diagnosis of Alzheimer's Disease"
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- Aug 31, 04:00 UTC arXiv cs.LG lead source Leveraging a Foundation Model for the EEG-Based Diagnosis of Alzheimer's Disease