Artificial Intelligence in Molecular Medicine and Human Diseases
This special issue belongs to the section "Molecular Informatics".
Special Issue Information
Dear Colleagues,
Artificial intelligence is rapidly transforming biomedical and molecular research by enabling the integration and interpretation of complex, heterogeneous, and high-dimensional biological and clinical data. In the context of human diseases, AI-based approaches are increasingly being used to investigate disease mechanisms at the molecular level, identify diagnostic and prognostic biomarkers, model disease progression, and support precision medicine strategies.
This Special Issue aims to highlight recent advances in the application of artificial intelligence, machine learning, and deep learning to molecular research on human diseases. We welcome original research articles and comprehensive reviews focused on innovative computational approaches for the analysis of molecular and biomedical data, including genomics, transcriptomics, proteomics, metabolomics, epigenomics, single-cell data, spatial omics, molecular imaging, biomarker discovery, pathway analysis, molecular network modeling, and multi-omics integration.
Particular attention will be given to studies that use AI to uncover molecular signatures, disease-associated pathways, gene–protein interactions, immune and inflammatory mechanisms, molecular subtypes, therapeutic targets, and predictors of treatment response. Contributions addressing complex human diseases, including cancer, metabolic disorders, autoimmune diseases, neurodegenerative conditions, cardiovascular diseases, infectious diseases, and multisystem inflammatory disorders, are especially encouraged when they provide mechanistic, molecular, or translational insight.
By bringing together interdisciplinary research at the interface of artificial intelligence, molecular medicine, systems biology, and clinical science, this Special Issue seeks to promote robust, interpretable, and biologically meaningful AI-driven approaches. The ultimate goal is to advance our understanding of human diseases at the molecular level and to accelerate the development of improved diagnostic, prognostic, and therapeutic strategies for precision medicine.
Dr. Jorge Mateo
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- molecular medicine
- human diseases
- machine learning
- deep learning
- precision medicine
- biomarker discovery
- multi-omics integration
- genomics
- transcriptomics
- proteomics
- metabolomics
- molecular signatures
- disease mechanisms
- systems biology
- molecular networks
- therapeutic targets
- predictive modeling
- explainable AI
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