Alzheimer's disease
PulseAugur coverage of Alzheimer's disease — every cluster mentioning Alzheimer's disease across labs, papers, and developer communities, ranked by signal.
5 天有情绪数据
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AI network improves dementia diagnosis and MMSE prediction using EEG data
Researchers have developed a novel Task-guided Spatiotemporal Network (TGSN) incorporating diffusion augmentation to improve dementia diagnosis and MMSE prediction using EEG data. The TGSN utilizes multi-band feature fu…
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Reinforcement learning optimizes feature selection for stable biomarker discovery
Researchers have developed StackFeat-RL, a novel meta-learning framework designed for feature selection in high-dimensional genomic data. This approach utilizes reinforcement learning, specifically REINFORCE policy grad…
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AI model uses neuro-anatomy for efficient Alzheimer's disease classification
Researchers have developed NeuroAPS-Net, a novel deep learning model designed for efficient Alzheimer's disease classification using MRI data. This model converts T1-weighted MRI scans into anatomically informed 2D poin…
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Foundation models show promise in disease prediction and RF loss classification
Researchers have evaluated the Tabular Pre-Trained Foundation Network (TabPFN) for predicting the conversion of Mild Cognitive Impairment to Alzheimer's Disease, finding it outperforms traditional machine learning model…
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CognitiveTwin uses AI to predict Alzheimer's cognitive decline with multi-modal data
Researchers have developed CognitiveTwin, a novel digital twin framework designed to predict cognitive decline in Alzheimer's disease. This system integrates diverse longitudinal data, including cognitive scores, neuroi…
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New framework RE-CONFIRM evaluates robustness of AI biomarkers for neurological disorders
Researchers have developed a new framework called RE-CONFIRM to evaluate the robustness of biomarkers identified by foundation models (FMs) for neurological disorders. Experiments on datasets for Autism Spectrum Disorde…