Lead Editor:
Professor Michael Schäfers,
Department of Nuclear Medicine, University Hospital Münster (UKM),
Germany
The integration of multi-omics technologies and radiomics has emerged as a transformative approach in understanding the intricate molecular and cellular mechanisms underlying tumor progression and immune-related diseases. By combining these technologies, researchers can unravel complex biological processes and identify precise biomarkers for diagnosis, prognosis, and therapeutic targeting.This proposed Topic aims to explore the synergy between multi-omics (e.g., genomics, transcriptomics, proteomics, metabolomics) and imaging-based radiomics (e.g., PET, MRI, CT) in advancing our understanding of immune responses and tumor biology. The cross-disciplinary integration of these tools holds the potential to enhance the precision and accuracy of disease diagnostics, and provide comprehensive insights into immune-tumor interactions and inflammatory processes. We welcome comments, mini-reviews, systematic reviews and meta-analyses, clinical trials, and original research articles covering, but not limited to, the following topics: 1. Integration of multi-omics data or radiomics to study tumor-immune dynamics. 2. Development and validation of imaging biomarkers for immune and inflammatory diseases. 3. Application of machine learning to combine imaging features and omics data for predictive modeling. 4. Advances in PET tracers and imaging technologies for immune-tumor processes. 5. Imaging-based monitoring of immune responses in cancer immunotherapy. 6. Translational research bridging preclinical imaging findings and clinical applications. 7. Novel approaches to integrating spatial transcriptomics and molecular imaging. 8. Multi-omics reveals diagnostic and therapeutic biomarkers for immune and inflammatory diseases.
Submission deadline:
10/06/2026
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