Interactive, Mobile, Wearable and AI Technologies

Dear Colleagues,

This Special Issue welcomes research on advanced methods for precision medicine that leverage interactive, mobile, wearable and/or AI technologies to advance diagnostics, prognostics, patient stratification, and deep phenotyping, as well as drug repurposing, variant–phenotype association studies, and pharmacogenomics. We particularly encourage submissions that integrate multimodal data—such as genomic and molecular profiles, medical imaging, electronic health records, medication histories, laboratory tests, and real-world health signals—to model disease onset, progression, treatment response, and adverse drug reactions.

Topics of interest include, but are not limited to, the following:

• Multimodal AI for early disease detection and risk prediction
• AI-driven clinical decision support and personalized treatment planning
• Digital biomarkers from mobile, wearable, and remote monitoring data
• Computational phenotyping and patient subtyping
• Drug–gene–disease network modeling and drug repurposing
• Predictive modeling of therapeutic response and toxicity
• Variant interpretation and genotype–phenotype mapping
• Real-world evidence and learning health systems
• Explainable and trustworthy AI for clinical translation
• AI-enabled biosensors and smart diagnostic devices
• Wearable, implantable, and point-of-care sensing platforms for precision medicine
• Edge AI and on-device intelligence for real-time health monitoring
• Hardware–software co-design for scalable clinical AI systems
• Federated and privacy-preserving AI on distributed medical devices
• Integrated sensing, computation, and actuation systems for closed-loop healthcare

Emphasis is placed on scalable, interpretable, and clinically relevant AI systems that enable translational impact in real-world healthcare settings.

Dr. Junhan Zhao
Dr. Jun Wen
Guest Editors

Manuscript Submission Information

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