Artificial Intelligence for Bioinformatics and Precision Medicine
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 30 October 2026 | Viewed by 2
Special Issue Editors
Interests: machine learning; deep learning; computer vision; decision making; wearable technology; intelligent cyber–physical systems; intelligent cyber–biological systems; bioinformatics; multi-agents systems
Special Issues, Collections and Topics in MDPI journals
Interests: next-generation sequencing; multi omic; R; oncology; bioifnormatic analisys; ML/AI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid growth of biological and biomedical data generated by high-throughput technologies has created unprecedented opportunities for the application of artificial intelligence (AI) in bioinformatics and precision medicine. Machine learning and deep learning techniques are increasingly used to analyze complex biological datasets, enabling new discoveries in genomics, transcriptomics, proteomics, and systems biology.
This Special Issue aims to highlight recent advances in artificial intelligence methods applied to bioinformatics and biomedical data analysis. Contributions addressing innovative computational models, data-driven methodologies, and AI-based frameworks for extracting biological knowledge from large-scale datasets are particularly welcome.
Topics of interest include, but are not limited to, the following:
- Machine/deep learning for biomedical data/imaging;
- Omics data analysis;
- Medical Image analysis;
- Deep learning for multi-omics data integration;
- AI-driven biomarker discovery;
- AI and machine learning for precision medicine;
- Predictive modeling for drug response/discovery and toxicity;
- Federated learning in healthcare;
- Time-series and longitudinal data analysis for patient monitoring;
- Explainable AI in healthcare and in clinical decision support systems;
- Computational approaches for biological systems modeling;
- Ethics, fairness, and transparency in AI-driven medicine;
- Large/small language models and AI agents in biomedical applications.
By bringing together interdisciplinary research from computer science, bioinformatics, and biomedical engineering, this Special Issue seeks to provide a comprehensive overview of the latest developments in AI-driven bioinformatics and their potential impact on biomedical research and clinical applications.
We look forward to receiving your contributions.
Dr. Giovanni Cicceri
Dr. Sebastiano Di Bella
Dr. Marta Lovino
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- bioinformatics
- computational biology
- precision medicine
- multi-omics data analysis
- deep learning
- biomedical data mining
- explainable AI
- systems biology
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