Advanced whole transcriptome sequencing and artificial intelligence/machine learning (AI/ML) in imiquimod-induced psoriasis-like inflammation of human keratinocytes
Our results highlight the importance of specific genes and pathways, particularly those associated with IFN-γ pathway and IL-6/JAK-STAT signaling. AI/ML predictions indicate potential associations with various diseases and provide valuable insights for the development of novel therapeutic approaches for psoriasis and related disorders.
Authors
- Shih‐Chang Tsai (ORCID: https://orcid.org/0000-0001-9018-607X)
- Yonghong Peng (ORCID: https://orcid.org/0000-0002-5508-1819)
- Hao‐Ping Chen (ORCID: https://orcid.org/0000-0002-6491-2178)
- Ting‐Yuan Liu (ORCID: https://orcid.org/0000-0002-2729-0541)
- Jai‐Sing Yang (ORCID: https://orcid.org/0000-0001-7302-8248)
- Yu-Jen Chiu (ORCID: https://orcid.org/0000-0001-6821-7618)
- Tsung-Jung Ho (ORCID: https://orcid.org/0000-0002-5856-7312)
- Lii-Tzu Wu
- Fuu Jen Tsai
- Yu-Ning Juan
Institutions
- National Yang Ming Chiao Tung University (TW)
- China Medical University (TW)
- Tzu Chi University (TW)
- Tzu Chi Foundation (TW)
- Taipei Veterans General Hospital (TW)
- Taipei City Hospital (TW)
- China Medical University Hospital (TW)
Publication Details
- Journal
- Biomedicine
- Published
- 2024-12-01
- DOI
- https://doi.org/10.37796/2211-8039.1468
- Citations
- 2
- Primary Topic
- Psoriasis: Treatment and Pathogenesis
- Type
- article
- Field-Weighted Citation Impact
- 0.48
Funders
- Office of Research and Development
- China Medical University Hospital
- China Medical University
- Division of Materials Research