Artificial intelligence and multiomics integration for Parkinson's disease drug development

초록

Recent advances underscore the potential of integrating multiomics, such as genomics, transcriptomics, proteomics, and metabolomics, and artificial intelligence to overcome limitations regarding early diagnosis and treatment of Parkinson's disease. Developing a comprehensive view of the complex molecular landscape of Parkinson's disease through artificial intelligence algorithms would enable the processing of extensive multiomics datasets. Applying these integrative technologies to Parkinson's disease research would improve early diagnosis, support personalized therapeutic strategies, and drug discovery. This review explores the transformative potential of integrating multiomics and artificial intelligence in Parkinson's disease, outlining a framework to advance diagnosis, treatment, and drug development in neurodegenerative (c) 2026 The Author(s). Published by Elsevier Inc. on behalf of Korean Society for Molecular and Cellular Biology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

키워드