Evaluating the Role of AI Assistants in Accelerating Neurodegenerative Disease Research: Opportunities and Translational Limitations
Xiyue Yu, Qianqian Yao · 2026
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Description
Xiyue Yu and Qianqian Yao review in 2026 what artificial intelligence assistants can and cannot do for brain degeneration research. Diseases such as Alzheimer and Parkinson grow more common with aging, while treatments that change their course stay scarce. Newer language models now help with literature searches, coding, summaries, and forming hypotheses.
Older machine learning already aids scan reading, disease path forecasts, and drug target ranking. Assistant outputs still suffer from biased data, hidden reasoning, shifting inputs, and confident false claims. Faulty labels and slow, varied disease courses make those flaws bite harder in this field. Human experts working beside the tools, with open reporting and hard validation, is the near-term model the authors defend.
Catalog record
| CREATOR | Xiyue Yu, Qianqian Yao |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 25 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |