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Academic Publication Alzheimer’s disease unveiled: Cutting-edge multi-modal neuroimaging and computational methods for enhanced diagnosis
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Alzheimer’s disease unveiled: Cutting-edge multi-modal neuroimaging and computational methods for enhanced diagnosis
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Explainable EEG-based machine learning for early diagnosis of Alzheimer’s disease and frontotemporal dementia
Scientific Reports - Explainable EEG-based machine learning for early diagnosis of Alzheimer’s disease and frontotemporal dementia
Pathophysiology
Significant advancements in neuroimaging technologies, including cloud-based microscopes and red-shifted GRAB acetylcholine sensors, are enabling more precise and long-duration studies of CNS disea...
Recent advances in Alzheimer’s disease: mechanisms, clinical trials and new drug development strategies
AbstractAlzheimer’s disease (AD) stands as the predominant form of dementia, presenting significant and escalating global challenges. Its etiology is intricate and diverse, stemming from a combinat...
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection
AbstractExplainable artificial intelligence (XAI) has gained much interest in recent years for its ability to explain the complex decision-making process of machine learning (ML) and deep learning ...
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Yes, highly correlated activity was mapped. An entry titled 'Explainable EEG-based machine learning for early diagnosis of Alzheimer’s disease and frontotemporal dementia' discusses this: Scientific Reports - Explainable EEG-based machine learning for early diagnosis of Alzheimer’s disease and frontotemporal dementia
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