Artificial intelligence-driven multi-omics approaches in Alzheimer's disease: Progress, challenges, and future directions
Guangzhou University of Chinese Medicine · First People's Hospital of Chongqing · +3 more institutions
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, with few effective treatments currently available. The multifactorial nature of AD, shaped by genetic, environmental, and biological factors, complicates both research and clinical management. Recent advances in artificial intelligence (AI) and multi-omics technologies provide new opportunities to elucidate the molecular mechanisms of AD and identify early biomarkers for diagnosis and prognosis. AI-driven approaches such as machine learning, deep learning, and network-based models have enabled the integration of large-scale genomic, transcriptomic, proteomic, metabolomic, and microbiomic…
Citation impact
- FWCI
- 30.20
- Percentile
- 100%
- References
- 468
Authors
10- FRFang RenCorresponding
Guangzhou University of Chinese Medicine, First People's Hospital of Chongqing
- JWJing Wei
Southwest Medical University, Affiliated Hospital of Southwest Medical University
- QCQingxin Chen
Southwest Medical University, Affiliated Hospital of Southwest Medical University
- MHMengling Hu
Guang’anmen Hospital
- LYLu Yu
Southwest Medical University, Affiliated Hospital of Southwest Medical University
Topics & keywords
- Disease
- Omics
- Data science
- Computational biology
- Computer science
- Artificial intelligence
- Psychology
- Medicine