Multimodal AI for Genomic-Clinicopathologic Integration: From Preventive Screening to Precision Diagnosis
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Biochemistry, Biophysics and Computational Biology".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 14
Special Issue Editor
Interests: multimodal data integration; artificial intelligence in medicine; genomic and health data analysis; digital pathology and image analysis; predictive modeling and risk stratification; explainable machine learning (XAI)
Special Issue Information
Dear Colleagues,
In the era of precision medicine, integrating diverse biomedical data sources—such as genomic profiles, structured health check-up records, and clinicopathologic imaging—is pivotal for advancing disease prevention, early detection, and individualized care. This Special Issue invites original research and reviews that leverage artificial intelligence (AI), machine learning (ML), and multimodal data fusion to address key challenges in predictive and translational medicine. We particularly welcome contributions that perform the following functions:
- Combine genomic data (e.g., GWAS, SNP arrays, NGS) with structured clinical or lifestyle information to identify disease risk patterns or stratify patient populations;
- Integrate health check-up data with AI models to develop explainable and scalable screening tools for complex diseases;
- Apply AI to digital pathology images (e.g., TMA, whole-slide imaging) to extract histopathological features for diagnosis, prognosis, or therapeutic response prediction;
- Propose innovative frameworks for variant reclassification, disease subtyping, or multimodal biomarker discovery, especially those applicable to real-world clinical data.
This interdisciplinary Special Issue aims to bridge genomics, digital pathology, and preventive healthcare, fostering novel AI-driven methodologies that support clinical decision-making and precision health strategies.
Dr. Yen-Lin Chen
Guest Editor
Manuscript Submission Information
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Keywords
- multimodal data integration
- artificial intelligence in medicine
- genomic and health data analysis
- digital pathology and image analysis
- predictive modeling and risk stratification
- explainable machine learning (XAI)
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