Artificial Intelligence Technology in Neurodegenerative Diseases

Dear Colleagues,

Alzheimer's disease (AD) is one of the world's largest public health problems, affecting an estimated 55 million people worldwide. Massive international research efforts have contributed to uncovering the molecular mechanisms underlying the onset and progression of Alzheimer's disease and developing therapeutic strategies for its treatment. Artificial intelligence technology (AI), especially machine learning (ML), has emerged as an indispensable tool for accelerating and improving AD prediction and diagnosis and drug discovery. However, the barriers to success for AI include challenges with data readiness, data imputation, data reduction, machine learning algorithms’ performance and efficiency, the discovery of new biomarkers (amyloid/tau/neurodegeneration (ATN), MRI, PET, metabolic, genome-wide association study, etc.), multi-omics data integration and classification, drug discovery, etc.

This Special Issue aims to bring together original research discussing and addressing these challenges in artificial intelligence technologies and their applications in neurodegenerative diseases. We invite submissions across the entire spectrum of this field. Topics of interest include, but are not limited to, the following:

• Data readiness for AI/ML for AD;
• Missing data imputation, feature selection and hyperparameter tuning for AD;
• AI/ML algorithm development for AD;
• Amyloid/tau/neurodegeneration (ATN) classification based on CSF biomarkers with AI/ML for AD;
• Multi-omics (proteomics, genomics, metabolics, imaging, environment, etc.) with AI/ML for AD;
• Drug discovery with AI/ML for AD.

Dr. Fan Zhang
Dr. Xiaogang Wu
Guest Editors

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