Artificial intelligence–driven analysis of antibody and nucleic acid biomarkers for enhanced disease diagnostics
Together, BioGraphAI and ACKR represent a step toward overcoming critical barriers in biomarker-driven disease diagnostics. By grounding computational predictions in biological priors and enhancing interpretability through structured embeddings, this framework advances the translational applicability of AI for early and precise disease identification.
Authors
- Feng Zhu (ORCID: https://orcid.org/0000-0001-6661-0002)
- Mei Zhang (ORCID: https://orcid.org/0000-0003-4479-5194)
- Zihan Liu (ORCID: https://orcid.org/0000-0002-9692-4245)
Institutions
- Pingdingshan University (CN)
- Northeast Agricultural University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-10-02
- DOI
- https://doi.org/10.3389/fimmu.2025.1633989
- Primary Topic
- Advanced Biosensing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00