Artificial Intelligence for Personalized Medicine: Bridging Innovative Technologies and Patient-Centric Care
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 2195
Special Issue Editor
Interests: artificial intelligence; personalized medicine; patient-centric care; healthcare IoT; biomedical data integration; precision health
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore the transformative potential of artificial intelligence (AI) in personalized medicine, focusing on cutting-edge research, innovations and practical applications that enhance patient care through customization. It will cover a range of topics, from AI-driven diagnostics and treatment recommendations to data integration and ethical considerations in AI applications.
Objectives:
- To showcase the latest advancements in AI technologies that contribute to personalized medical approaches;
- To discuss the integration of AI with genomics, proteomics and other omics technologies for comprehensive patient profiling;
- To present case studies and real-world applications demonstrating the impact of AI on patient outcomes.
The topics of interest are as follows (but not limited to): AI and machine/deep learning algorithms for predictive modeling in disease diagnosis and prognosis, eXplainable AI (XAI) for personalized medicine applications, integration of electronic health records (EHRs) and patient data for personalized treatment plans, AI in drug discovery and development for personalized therapy, AI to interpret complex genomic data and mutation patterns, deep/machine learning models that predict individual patient responses, and wearables and IoT devices in monitoring and managing health conditions.
Dr. Agostino Forestiero
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence (AI)
- personalized medicine
- AI-driven diagnostics and treatment
- personalized treatment
- AI applications
- genomics, proteomics and other omics technologies
- machine/deep learning algorithms
- drug discovery and development for personalized therapy
- complex genomic data and mutation patterns
- wearables and ioT devices
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