BrainGeneBot: A GPT‐engineered, user‐driven genetic data exploration with polygenic risk scores ranking in Alzheimer's disease
The implementation of BrainGeneBot signifies a leap forward in advancing AD and neurodegenerative research by fostering data accessibility and accelerating discovery. Through AI-driven automation and robust analytics, it refines the precision of genetic insights, translating statistical measures into meaningful biological interpretations. This integrative framework not only enhances knowledge discovery and hypothesis generation, but also ensures that findings remain actionable and reproducible, ultimately pushing the boundaries of genomic research for AD and potentially other brain disorders.
Authors
- Gang Qu (ORCID: https://orcid.org/0000-0003-2681-0880)
- Zhongming Zhao
Institutions
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70855_107413
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00