Revealing multiple biological subtypes of schizophrenia through a data-driven approach
These findings show the potential to identify multiple biological subtypes with distinct biomarkers, thereby suggesting the possibility of personalized and precise treatment for SZ patients.
Authors
- Shixuan Feng
- Hehua Li (ORCID: https://orcid.org/0000-0002-8732-0247)
- Yuping Ning (ORCID: https://orcid.org/0000-0002-5727-2782)
- Kai Wu (ORCID: https://orcid.org/0009-0006-7460-5370)
- Yuran Wang
- Fengchun Wu (ORCID: https://orcid.org/0000-0003-2817-2341)
- Heng Zhang (ORCID: https://orcid.org/0000-0003-1112-7149)
- Liqin Liang (ORCID: https://orcid.org/0009-0005-6045-3292)
- Jun Liao (ORCID: https://orcid.org/0000-0003-1049-5783)
- Runlin Peng
- Xiaobo Li (ORCID: https://orcid.org/0000-0002-8153-5415)
- Wei Wang (ORCID: https://orcid.org/0000-0001-7788-1895)
- Yuanyuan Huang (ORCID: https://orcid.org/0000-0003-0101-4941)
- Jing Zhou (ORCID: https://orcid.org/0000-0002-7590-6881)
- Minxin Guo
- Baoyuan Zhu (ORCID: https://orcid.org/0009-0006-6213-214X)
Institutions
- New Jersey Institute of Technology (US)
- Guangdong University of Technology (CN)
- Tohoku University (JP)
- First Affiliated Hospital of Guangzhou Medical University (CN)
- Institute of Aging (CA)
- Guangdong 999 Brain Hospital (CN)
- South China University of Technology (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1186/s12967-025-06503-5
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- Guangzhou Medical University
- National Natural Science Foundation of China
- Natural Science Foundation of Guangdong Province
- South China University of Technology
- National Key Research and Development Program of China
- Basic and Applied Basic Research Foundation of Guangdong Province