Identification of Molecular Biomarkers Through Digital Pathology
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pathology, Diagnostics, and Therapeutics".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 10
Special Issue Editor
2. Instituto de Investigación, Fundación Universitaria de Ciencias de la Salud (FUCS), Bogotá 111411, Colombia
Interests: molecular pathology; digital and computational pathology; image-based biomarker discovery; artificial intelligence in pathology; spatial transcriptomics and proteomics; tumor heterogeneity; tumor microenvironment; translational cancer research; precision oncology
Special Issue Information
Dear Colleagues,
Recent advances in digital pathology, artificial intelligence, and computational image analysis have created unprecedented opportunities to extract molecularly relevant information directly from routine histopathological slides. Beyond visual assessment, quantitative analysis of tissue architecture, cellular morphology, and spatial relationships can now be linked to underlying genomic, transcriptomic, proteomic, and epigenetic alterations. These developments position digital pathology as a powerful platform for molecular biomarker discovery and translational research.
This Special Issue, “Identification of Molecular Biomarkers through Digital Pathology”, aims to present state-of-the-art research that bridges histomorphology with molecular biology. We welcome original research articles and reviews that investigate how image-derived features reflect molecular pathways, cellular states, and tumor–microenvironment interactions across neoplastic and non-neoplastic diseases. Emphasis is placed on studies integrating digital pathology with multi-omics data, spatial biology approaches, and machine learning or deep learning frameworks to uncover biologically meaningful and clinically actionable biomarkers.
The scope includes basic, translational, and clinically oriented studies addressing biomarker discovery, disease stratification, prognosis, therapy response prediction, and treatment monitoring. Relevant topics encompass AI-driven image analysis, spatially resolved molecular profiling, validation of digital biomarkers in large cohorts, and methodological advances that improve reproducibility and interpretability. By aligning current research trends in molecular pathology and computational analysis, this Special Issue seeks to advance mechanistic understanding at the molecular level and to accelerate the clinical translation of digital pathology-based biomarkers.
Dr. Rafael Parra-Medina
Guest Editor
Manuscript Submission Information
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Keywords
- digital pathology
- molecular biomarkers
- computational pathology
- artificial intelligence
- deep learning
- spatial biology
- multi-omics integration
- tumor microenvironment
- precision medicine
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