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Department of Brain Sciences
| Molecules and Cells | |
|---|---|
| 년도 | 2026 |
| 학술지명 | Molecules and Cells |
| 논문명 | Artificial intelligence and multiomics integration for Parkinson's disease drug development |
| 게재권/집 | |
| 수록페이지 | |
| 저자명 | Seulah Lee, Jaehoon Kim, Hae-Un Jung, Dayea Kim, Eunji Cho, Ye-Jin Kim, Young Rae Ji, Younghoon Go, Parkyoung Song, Yong-Seok Oh, and Jong Hyuk Yoon |
| Link |
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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 diseases. |
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