Artificial Intelligence in Molecular Biomarker Screening
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: 20 April 2026 | Viewed by 762
Special Issue Editor
Interests: inflammation; epidemiology; nutrition; colorectal cancer
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is revolutionizing molecular biomarker research by enabling scalable, high-resolution analysis of complex biological systems at the molecular level. Moving beyond clinical applications, AI facilitates the exploration of structural and functional characteristics of biomolecules, uncovering critical insights into disease mechanisms at both cellular and subcellular scales.
This Special Issue, Artificial Intelligence in Molecular Biomarker Screening, invites contributions that showcase advanced AI-driven approaches—such as machine learning, deep learning, and related computational methods—for decoding biomolecular complexity. We particularly welcome studies focused on protein–biomarker interaction prediction, molecular binding affinity estimation, pathway dynamics modeling, and integrative analysis of multi-omics data, including genomics, transcriptomics, proteomics, and metabolomics.
Submissions employing AI for molecular-level inference, in silico modeling, structure-based screening, or molecular dynamics simulations are strongly encouraged. Additionally, innovative applications of digital twins and immersive metaverse technologies in biomarker research—especially those supporting virtual experimentation and molecular system visualization—are of great interest.
This issue seeks to foster interdisciplinary dialogue between AI and molecular biosciences, highlighting how computational intelligence can drive next-generation biomarker discovery and validation. Ultimately, the goal is to advance precision molecular medicine through the integration of AI-enabled insights into biological structure, function, and disease progression.
Prof. Dr. Tony Hsiu-Hsi Chen
Guest Editor
Manuscript Submission Information
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Keywords
- molecular biomarkers
- imaging biomarkers
- screening
- artificial intelligence
- metaverse
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