A Comprehensive Database Collection for Alzheimer’s Disease: Organizing Key Research Domains to Enhance Diagnostics and Treatment
Disciplines
Bioelectrical and Neuroengineering | Biomedical Informatics | Medical Biochemistry | Medical Neurobiology | Musculoskeletal, Neural, and Ocular Physiology
Abstract (300 words maximum)
Alzheimer’s disease is a neurological disorder that is progressive and characterized by gradual degeneration of brain cells resulting in decline of cognition, memory, and behavior. According to the National Institute of Aging, Alzheimer’s disease is currently ranked 7th leading cause of death in the United States. Our research objective is to build a collection of databases for further Alzheimer’s disease research. This comprehensive collection includes various databases from both clinical and scientific perspectives. The diverse collection of databases ranges from the International Alzheimer’s and Related Dementias Research portfolio to the National Alzheimer’s Coordinating Center among others. These databases are then classified into categories based on their biomarkers, drug development, genetic research, and many other categories. The goal of this research is to aid medical professionals, researchers, and pharmaceutical companies with valuable data to improve Alzheimer’s disease treatment, early detections, and integrating deep learning applications using these database holds the key to unlocking patterns, predicting disease progression, and enhancing diagnostics.
Academic department under which the project should be listed
CCSE - Computer Science
Primary Investigator (PI) Name
Chloe Yixin Xie
A Comprehensive Database Collection for Alzheimer’s Disease: Organizing Key Research Domains to Enhance Diagnostics and Treatment
Alzheimer’s disease is a neurological disorder that is progressive and characterized by gradual degeneration of brain cells resulting in decline of cognition, memory, and behavior. According to the National Institute of Aging, Alzheimer’s disease is currently ranked 7th leading cause of death in the United States. Our research objective is to build a collection of databases for further Alzheimer’s disease research. This comprehensive collection includes various databases from both clinical and scientific perspectives. The diverse collection of databases ranges from the International Alzheimer’s and Related Dementias Research portfolio to the National Alzheimer’s Coordinating Center among others. These databases are then classified into categories based on their biomarkers, drug development, genetic research, and many other categories. The goal of this research is to aid medical professionals, researchers, and pharmaceutical companies with valuable data to improve Alzheimer’s disease treatment, early detections, and integrating deep learning applications using these database holds the key to unlocking patterns, predicting disease progression, and enhancing diagnostics.